dissertation reviews

profiletheedukator2020
2.pdf

A DESCRIPTIVE CASE STUDY: ELEMENTARY TEACHERS’ TECHNOLOGY

ACCEPTANCE AND CLASSROOM INTEGRATION

by

Jenny Michelle Owens Whitt

Liberty University

A Dissertation Presented in Partial Fulfillment

Of the Requirements for the Degree

Doctor of Education

Liberty University

2017

2

A DESCRIPTIVE CASE STUDY: ELEMENTARY TEACHERS’ TECHNOLOGY

ACCEPTANCE AND CLASSROOM INTEGRATION

by Jenny Michelle Owens Whitt

A Dissertation Presented in Partial Fulfillment

Of the Requirements for the Degree

Doctor of Education

Liberty University, Lynchburg, VA

2017

APPROVED BY:

Jennifer Courduff, Ph.D., Committee Chair

Amanda Rockinson-Szapkiw, Ed.D, Committee Member

Jillian Wendt, Ed.D, Committee Member

3

ABSTRACT

The purpose of this descriptive case study was to examine elementary teachers’ technology

acceptance in the context of a student-supported professional development model in an

elementary school located in the southern part of the United States. In this study, technology

was defined as Internet, iPad™, or laptop use in a classroom environment as an instructional and

learning tool. Face-to-face open-ended interviews, a survey, and archival data in the form of

observations collected yearly as part of program evaluation for professional development were

all used to answer the research questions. Research questions focused on (a) the impact of a

student-supported professional development model on teachers’ perceived ease of use, perceived

usefulness, and intent to use technology in classroom instruction; (b) the impact of a student-

supported professional development model on teachers’ actual use of technology in classroom

instruction; and (c) the impact of sustained, student-supported professional development of

technology on teachers’ willingness to integrate technology into classroom instruction. The

theory guiding this study was the technology acceptance model (TAM), which focuses on user

acceptance of an information system (Davis, 1989). The theory of reasoned action (TRA) is the

foundation for the TAM (Davis, 1989). Data analysis followed the process of Yin’s (2011) five-

phased cycle including compiling, disassembling, reassembling, interpreting, and concluding.

The four themes that emerged during the analysis of this case study included: skill and

knowledge development, lack of use prior to intervention/professional development, successful

experience with technology, and evidence of acceptance and integration.

Keywords: technology acceptance model (TAM), perceived ease of use, perceived

usefulness, intent to use, actual use, and professional development.

4

Copyright Page

5

Dedication

I want to thank my husband, Vance Whitt, and our five children: Sura, Aden,

Shelby, Tryston, and Shila for their support during the writing of my dissertation. I am glad

that the six of you not only supported me, but also were willing to embark on this journey

together. I love you with all of my heart.

I want to thank my parents, John Owens, Sr., and Laura Sue Freeze, for always

supporting my dreams. I also want to thank my family and friends who have supported me

on my journey through life.

I want to thank my dissertation Chair, Dr. Courduff, and my committee members,

Dr. Szapkiw and Dr. Wendt, for their support. I am glad that they all agreed to be part of

my committee. I would also like to thank Kelli Myers for her support throughout this

journey.

I want to thank Dr. Fred Davis for allowing me to not only use, but also modify the

technology acceptance model survey that he used in his 1989 research.

I dedicate this dissertation to my family and to other children who were likewise

raised in a lower-income family. Remember that you are capable of doing anything you put

your mind to.

6

Table of Contents

ABSTRACT .................................................................................................................................... 3

Copyright Page ................................................................................................................................ 4

Dedication ....................................................................................................................................... 5

List of Tables .................................................................................................................................. 9

List of Abreviations ...................................................................................................................... 10

CHAPTER ONE: INTRODUCTION ........................................................................................... 11

Overview ................................................................................................................................... 11

Background ............................................................................................................................... 11

Situation to Self ........................................................................................................................ 14

Problem Statement .................................................................................................................... 16

Purpose Statement ..................................................................................................................... 17

Significance of the Study .......................................................................................................... 17

Research Questions ................................................................................................................... 18

Definitions ................................................................................................................................ 20

Summary ................................................................................................................................... 21

CHAPTER TWO: LITERATURE REVIEW ............................................................................... 23

Overview ................................................................................................................................... 23

Theoretical Framework ............................................................................................................. 23

Related Literature ..................................................................................................................... 29

Summary ................................................................................................................................... 53

CHAPTER THREE: METHODS ................................................................................................. 54

Overview ................................................................................................................................... 54

7

Design ....................................................................................................................................... 54

Research Questions ................................................................................................................... 57

Setting ....................................................................................................................................... 57

Participants ................................................................................................................................ 59

Procedures ................................................................................................................................. 60

The Researcher's Role ............................................................................................................... 62

Data Collection ......................................................................................................................... 63

Data Analysis ............................................................................................................................ 70

Trustworthiness ......................................................................................................................... 72

Credibility ................................................................................................................................. 72

Dependability and Comfirmability ........................................................................................... 74

Transferability ........................................................................................................................... 75

Ethical Considerations .............................................................................................................. 75

Summary ................................................................................................................................... 76

CHAPTER FOUR: FINDINGS .................................................................................................... 77

Overview ................................................................................................................................... 77

Participants ................................................................................................................................ 78

Results ....................................................................................................................................... 83

Summary ................................................................................................................................. 112

CHAPTER FIVE: CONCLUSION ............................................................................................ 114

Overview ................................................................................................................................. 114

Summary of Findings .............................................................................................................. 115

Discussion ............................................................................................................................... 118

8

Implications ............................................................................................................................ 127

Delimitations and Limitations ................................................................................................ 130

Recommendations for Future Research .................................................................................. 134

Summary ................................................................................................................................. 134

REFERENCES ........................................................................................................................... 136

APPENDIX A: TEACHER INTERVIEW QUESTIONS AND SCRIPT .................................. 163

APPENDIX B: ADMINISTRATOR INTERVIEW QUESTIONS AND SCRIPT ................... 166

APPENDIX C: TECHNOLOGY ACCEPTANCE MODEL SURVEY .................................... 169

APPENDIX D: IRB APPROVAL .............................................................................................. 171

APPENDIX E: INVITATION TO PARTICIPATE ................................................................... 172

APPENDIX F: INFORMED CONSENT ................................................................................... 174

APPENDIX G: TECHNOLOGY PROFESSIONAL DEVELOPMENT SESSIONS…………177

APPENDIX H: TECHNOLOGY ACCEPTANCE MODEL SURVEY PERMISSION ........... 179

APPENDIX I: SAMPLE OBSERVATION NOTES ................................................................. 181

APPENDIX J: SAMPLE REFLECTIVE JOURNAL………………………...………………. 182

APPENDIX K: PRIMARY THEMES AND SUBTHEMES…………………………………. 183

9

List of Tables

Table 1: Teacher and Administrator Participants ……………………………………………. 81

Table 2: Technology Acceptance Survey Results …………………………………………… 86

Table 3: TAM Component Survey Results …………………………………….……………. 88

Table 4: Emergent Themes from Research ………………………………………………….. 89

Table 5: Research Questions and Theme Alignment ……………………………………….. 106

10

List of Abbreviations

Generation of Youth and Educators Succeeding (GenYes)

Information and Communities Technology (ICT)

Interactive Whiteboard (IWB)

Institutional Review Board (IRB)

Investigation for Quality Understanding and Engagement for Students and Teachers (iQUEST)

Technology Acceptance Model (TAM)

Technology-Based Assessments (TBA)

Theory of Reasoned Action (TRA)

11

CHAPTER ONE: INTRODUCTION

Overview

Chapter One provides the foundation for a descriptive case study on teachers’ technology

acceptance and classroom integration in the context of a student-supported professional

development model. The technology acceptance model (TAM) is used as the theoretical

framework, which guided the examination of teachers’ perceived ease of use, perceived

usefulness, intent to use, and actual use of technology. This chapter discusses the problem,

purpose, and significance of the study. Three research questions are introduced. A discussion on

situation to self, the limitations, and the delimitations of this study are provided.

Background

Even with the billions of dollars that the United States spends on educational software

and digital content, technology integration in classroom instruction is still underutilized

(DeNisco, 2014; Goo, Watt, Park, & Hosp, 2012; Gray, Thomas, & Lewis, 2010; More & Hart,

2013; Mundy, Kupczynski, & Kee, 2012; Schnellert & Keengwe, 2012; Teo, 2009). While not a

natural consequence of its availability, meaningful technology integration in classroom

instruction is indeed important as it has been shown to boost student achievement and learning

(Machado & Chung, 2015). Delen and Bulut (2011) conducted research to determine if student

exposure to technology at school and home impacted student achievement in mathematics and

science. These researchers concluded that students with more exposure to technology performed

better in science and mathematics (Delen & Bulut, 2011). They discussed that technology use at

home was a predictor of science and mathematics performance; however, school usage had a

limited impact because there was a lack of integration in classroom instruction (Delen & Bulut,

2011).

12

Research conducted by Chacko, Appelbaum, Kim, Zhao, and Montclare (2015)

demonstrated student success when technology was integrated into academic content. For two

summers, these researchers studied technology integration during a bioengineering program

provided for high school students. Chacko et al. concluded that technology in science instruction

was beneficial for the participants, as student work for lesson topics one (diabetes) and two

(HIV/AIDS) demonstrated 100% mastery. Cancer, which was topic three, resulted in 93% of

students mastering the content.

A vital factor influencing teachers’ technology acceptance and integration in the

classroom is effective professional development (DeNisco, 2014; Foughty & Keller, 2011;

Lawless & Pellegrino, 2007; Machado & Chung, 2015). Professional development is the process

of enhancing the instructional practices and knowledge of teachers as a means to improve student

learning (Darling-Hammond, Wei, Andree, Richardson, & Orphanos, 2009). Teachers need

relevant and effective professional development support in the area of technology use as an

instructional tool in the classroom (Wang, Myers, & Yanes, 2010). Unfortunately, professional

development with regard to the use of technology is often ineffective and does not results in the

acceptance and integration of the technology in classroom instruction (Akengin, 2008;

Desimone, 2009; Howley, Wood, & Hough, 2011; Machado & Chung, 2015; Ravitz, 2009;

Smolin & Lawless, 2010).

The majority of technology professional development initiatives include a one-day,

lecture-based approach without any follow-up or additional support services provided. The

result of this professional development approach is that teachers feel that they are inadequately

prepared to effectively use technology during classroom instruction (Dede, Ketelhut,

Whitehouse, Breit, & McCloskey, 2009; DeNisco, 2014; Howley et al., 2011). Feeling

13

inadequately prepared, teachers do not integrate technology in their classrooms despite research

supporting the benefits of utilization during instruction (Machado & Chung, 2015). Ndongfack

(2015) discussed professional development practiced for the past two decades in Cameroon. It

consisted of one-day training sessions at the end of each term, resulting in a total of three

sessions per year. The findings, as published in the 2009, 2010, and 2011 annual reports, support

the fact that one-day training sessions are ineffective in teacher acceptance and integration of

technology into classroom instruction. The reports concluded that the teachers preferred long

term or ongoing technology professional development opportunities.

Gray et al. (2010) concluded that 66% of the teachers in their study spent eight hours or

less on activities or tasks that provided them with technology professional development within a

12-month timeframe. The one-day model, in addition to the small portion of time allotment for

technology professional development, suggests teachers’ technology professional development

may need to be restructured to ensure acceptance and effective integration of technology into the

classroom.

Research has shown that effective technology training should be characterized by

professional development that is long-term or ongoing, is embedded into day-to-day practices,

and is accompanied by a mentor or coach (Lutrick & Szabo, 2012; Ndongfack, 2015; O’Koye,

2010). A study by Duran, Brunvand, Ellsworth, and Sendag (2012) using 218 teachers and

administrators that provided a district-wide, research-based professional development model

focused on the development and usage of wikis in classroom instruction. The research-based

professional development model included new roles for teachers such as mentoring and collegial

learning, and was an ongoing process. During the six-month study, teacher participants received

numerous technology professional development sessions. In addition to the professional

14

development sessions, follow-up support and one-on-one instructional opportunities were

provided. The results suggested that professional development had a significant impact on

teacher technology, specifically as it related to the increase of knowledge and skills of

participants. Duran et al. also concluded that research-based professional development enhanced

learning as well as changed technology practices in classroom instruction. After the study was

completed, Duran et al. noted that 57% of the participants continued to use wiki sites; however,

they stressed that more work was needed to understand technology professional development

that results in teacher acceptance and is effective in supporting integration of technology into

classroom practice (DeNisco, 2014; Machado & Chung, 2015; O’Koye, 2010). This descriptive

case study focused on teacher technology acceptance and classroom integration in context to a

specific technology professional development model, which included many elements of effective

professional development including long-term and on-going, connecting technology to

instruction, and embedding it into day-to-day practices. It however extends the professional

development knowledge base in that it included another element, elementary student support,

that has received little to no attention in research.

Situation to Self

My years as a classroom teacher, instructional coach, and instructional technology

director have led me to recognize an increasing need for teacher technology acceptance and

integration into classroom instruction, as well as for effective technology professional

development. Having experienced technology integration firsthand, I also know and understand

that there are obstacles to achieving both acceptance and usage of technology by teachers.

As a qualitative researcher, my philosophical assumption that guided this study was the

paradigm of constructivism. I chose this paradigm because reality focused on interpretations of

15

each individual (Lincoln & Guba, 1985). Constructivism is a paradigm that is used when one

wants to provide each participants perception as they will each vary. This study implemented

three data collection methods where I was fully immersed, thus adhering to the constructivism

framework (Charmaz, 2014).

Ontological assumptions, which address multiple realities and attempt to discover the

nature of the reality, were a part of this case study (Creswell, 2013; Guba & Lincoln, 1989). The

words of each participant were voiced through interviews, a survey, and archival data consisting

of classroom observations conducted during the 2013-14 and 2014-15 school year as part of

program evaluation.

This study relied on epistemological assumptions, wherein I am “trying to get as close as

possible to the participants being studied” (Creswell, 2013, p. 20). As a means of striving to

achieve an accurate picture of what each participant was saying (Creswell, 2013), I conducted all

professional development sessions in participants’ classrooms. All professional development

sessions had occurred during the 2013-14 and 2014-15 school years as part of a district

technology integration rollout plan, which included a professional development program

evaluation component that I both created and implemented. My active involvement in

professional development sessions provided additional opportunities to learn and understand the

level of technology integration of participants as well as their experiences with technology in

classroom practices.

This study revealed rhetorical assumptions, which addressed my need to write in a

manner that was personal and based on the findings that are credible, transferable and

dependable to provide a holistic view (Creswell, 2013; Feagin, Orum, & Sjoberg, 1991). My job

was to accurately report all observations in an objective manner (O’Neil, 1998). To do so, I used

16

open-ended interview questions for teachers (Appendix A) and administrators (Appendix B),

transcribed the responses, and then provided participants with the opportunity to review and

clarify the responses in order to member check. In addition, participants reviewed the findings.

This ensured that the recorded answers were both objective and a direct reflection of the

responses provided by each participant.

Problem Statement

Despite researchers’ support for the advantages of technology inclusion in the classroom

(e.g., increase in student achievement), technology integration in classroom instruction has not

changed much in the last decade (DeNisco, 2014; Morgan, 2014; Navidad, 2013; Schnellert &

Keengwe, 2012; Tamim, Bernard, Borokhovski, Abrami, & Schmid, 2011). This lack of

increased use of technology is primarily the consequence of ineffective technology professional

development for teachers (DeNisco, 2014; Goo et al., 2012; Gray et al., 2010; Howley et al.,

2011; Machado & Chung, 2015; More & Hart, 2013; Ravitz, 2009; Schnellert & Keengwe, 2012;

Tamim et al., 2011). While numerous research studies on technology professional development

exist, research on an effective model resulting in an increase of teacher acceptance and

integration of technology in elementary classroom instruction is limited (DeNisco, 2014;

Schnellert & Keengwe, 2012; Skoretz, 2011). While some research exists on using a coach or

mentor and providing continuous educational support as a tool to increase technology acceptance

and integration in the classroom, they are neither commonly used, nor cost effective (Machado &

Chung, 2015). There is a gap in the literature that addresses elementary student-supported

technology professional development. This case study included students as a support for

professional development to raise teacher technology acceptance and integration into classroom

instruction.

17

Purpose Statement

The purpose of this descriptive case study was to examine teachers’ technology

acceptance and classroom integration in the context of a student-supported professional

development model at an elementary school located in the southern part of the United States. In

this descriptive case study, technology was defined as using the Internet on an iPad™ or laptop in

a classroom environment as an instructional and learning tool. Student-supported professional

development was defined as teachers receiving and participating in nine sessions of technology

professional development with the students in their classroom. Student-supported technology

professional development occurred in the 2013-14 and 2014-15 school year as part of a two-year

district technology integration rollout plan; therefore, it was only conducted for two years. A

specific agenda (Appendix G) was implemented, which included specific tasks and a homework

component. Student support included enhancing teacher technology knowledge and application;

motivation; exposure; comfort level; and ability to explore, demonstrate and recall skills.

Students exhibit technology expertise, are more competent with technology, and have a higher

set of technology skills than teachers (Bajt, 2011; Gu, Zhu, & Guo, 2013). The theory guiding

this study was the TAM, as it was used to explain teacher technology acceptance and integration

into classroom instruction (Davis, 1989).

Significance of the Study

Empirical research targeting elementary student-supported professional development

does not exist. Research beginning as early as the 1990s discussed elementary students as

technology troubleshooters, but not as support during professional development (Corso &

Devine, 2013). The research that is available focuses on middle school and college students

18

taking on technology leadership roles resulting in integration into classroom instruction, but not

in an elementary setting (Breiner, 2009; Corso & Devine, 2013; Gu et al., 2013).

Although researchers have identified effective elements of professional development,

there was a gap in the literature addressing the potential of elementary student-supported

professional development (Duran et al., 2012; Gayton & McEwan, 2010; Koh & Newman, 2009;

Neuman & Cunningham, 2009; Potter & Rockinson-Szapkiw, 2012). Furthermore, effective

technology professional development models are needed, especially at the elementary level.

Examining teachers’ technology acceptance and classroom integration in the context of a

student-supported professional development model, through a longitudinal study, could possibly

answer how. This study offers an effective professional development model that school

personnel can adopt to enhance teacher technology acceptance and use in the classroom.

An in-depth examination of teachers’ perspectives pertaining to long-term technology

professional development occurred in this study, thus adding to the literature as researchers have

discussed the importance of conducting ongoing or long-term technology professional

development (Lutrick & Szabo, 2012; Matherson, Wilson, & Wright, 2014). Rather than

implementing one-day technology professional development, which has been shown to be

generally ineffective, this study provided support for the implementation of long-term programs

(Blackmon, 2013; Borthwick & Pierson, 2008; Dede et al., 2009).

Research Questions

Technology professional development plays a role in teacher acceptance and integration

of technology in classroom instruction (DeNisco, 2014; Ertmer, Ottenbreit-Leftwich, Sadik,

Sendurur, & Sendurur, 2012). Research supports effective elements of professional development

that enhance teachers’ acceptance of technology and integration into classroom instruction

19

(Lutrick & Szabo, 2012; O’Koye, 2010); however, additional studies are needed to develop

effective models for supporting it, especially at the elementary level (DeNisco, 2014; Machado

& Chung, 2015; O’Koye, 2010). Three research questions were used to study teachers’

technology acceptance and classroom integration in the context of a student-supported

professional development model. Research Question One focused on teachers’ beliefs that

technology will be effort-free and good for their job, along with their plan to use technology as

an instructional tool in classroom instruction.

RQ 1: How will the integration of a student-supported professional development model

impact teachers’ perceived ease of use, perceived usefulness, and intent to use technology in

classroom instruction?

Because it has been available throughout their lives, today’s elementary students have an

understanding of technology that previous generations lacked (Bajt, 2011; McAlister, 2009).

Therefore, they also tend to have well-developed technology skills, knowledge, and

competencies (Bajt, 2011; Gu et al., 2013). Research supports the need for teachers to rely on

the technology expertise that their students possess (Corso & Devine, 2013; Krier, 2008).

Research Question Two addresses how student-supported professional development impacts

teachers’ ability to use technology in the classroom.

RQ 2: How will the integration of a student-supported professional development model

impact teachers’ actual use of technology in classroom instruction?

Research supports that professional development is the primary factor impacting teacher

acceptance of technology and technology integration in the classroom (DeNisco, 2014; Ertmer et

al., 2012). The process of studying the impact on teachers’ technology use in classroom

instruction provided an understanding of teacher acceptance. Research Question Three studies

20

the relationship between a student-supported professional development model and teachers’

technology integration in the classroom.

RQ 3: What evidence suggests that student-supported professional development for

technology is responsible for the encouragement of teachers’ technology integration into

classroom instruction?

Most of the literature discussing technology professional development focuses on

ineffective models (DeNisco, 2014; Gray et al., 2010; Schnellert & Keengwe, 2012; Skoretz,

2011). There are certain effective elements of professional development supported by research,

such as professional development learning that is embedded into day-to-day practices, is long-

term or ongoing, and uses a mentor or coach; however, no research exists that targets elementary

student support for professional development (Lutrick & Szabo, 2012, O’Koye, 2010).

Definitions

1. Actual use - The genuine utilization of a specific technology a person exhibits based on

the person’s perceived ease of use, perceived usefulness, and intent towards using.

Actual use is actual computer adoption behavior (Davis, Bagozzi, & Warsaw, 1989).

2. Intent to use - Based on perceived ease of use and perceived usefulness. Intent to use is

the calculated goal a person has towards technology application. User intention is the

actual plan that a user will employ technology (Davis et al., 1989).

3. Perceived ease of use - A construct of the TAM focusing on a person’s belief that

technology will be effortless (Davis, 1989). Perceived ease of use is an influence on

perceived usefulness based on the thought that if technology is easier to integrate, then it

is convenient.

21

4. Perceived usefulness - A construct of the TAM that focuses on the extent that a person

believes the system will be good for his or her job (Davis, 1989).

5. Professional development - The process of enhancing teacher instructional practices and

knowledge as a means to improve student learning (Darling-Hammond et al., 2009).

Furthermore, professional development includes providing group instruction and/or

activities focusing on specific skills, attitudes, and extending professional knowledge

(Guskey, 2000).

6. The Technology Acceptance Model (TAM) - A model introduced by Davis (1989) based

on theory of reasoned action. The TAM provides information regarding a person’s

perception of technology and usage behavior (Davis et al., 1989). Four of the TAM

constructs are user perceived usefulness, perceived ease of use, intent to use technology

and actual use of technology or technology devices.

Summary

This study examined teachers’ technology acceptance and classroom integration in the

context of a student-supported professional development model. Specifically, describing how

student-supported professional development influences teachers’ technology acceptance and

integration in the classroom. The theoretical framework for this case study was based on the

TAM (Davis, 1989; Davis et al., 1989), which was introduced in Chapter One and then discussed

in depth throughout Chapter Two. The problem statement, purpose for conducting the study,

significance of the study, and research questions were discussed in this chapter. A presentation

of the gaps in literature provided a framework for this study.

A descriptive case study was selected because an understanding of an intervention

consisting of student-supported professional development as it pertains to a real-life context,

22

teacher technology acceptance, and integration was obtained (Stake, 1995, Yin, 2013).

Specifically, using multiple methods to avow an in-depth investigation. The data collection

methods for this study included a survey, open-ended face-to-face interviews, and archival data

consisting of classroom observations collected yearly, during 2013-14 and 2014-15 school years,

as part of program evaluation. Participants consisted of five elementary school teachers located

in the southern part of the United States who received the student-supported technology

professional development model and two administrator participants who observed student-

supported technology professional development at least three times during the 2013-14 and/or

2014-15 school years.

23

CHAPTER TWO: LITERATURE REVIEW

Overview

In several studies that focuse on teachers’ use of technology conducted in various

settings ranging from kindergarten through higher education, less than half of the teachers

across all the studies reported that they used technology regularly in their classroom instruction

(DeNisco, 2014; Gray et al., 2010; Schnellert & Keengwe, 2012). Teachers report that a lack of

professional development focusing on technology for instructional purposes was the main

reason for limited technology inclusion in classroom instruction. This suggests the need for an

effective technology professional development model.

This chapter provides a review of literature discussing (a) the theoretical framework; (b)

technology integration in the classroom; (c) professional development; (d) issues that impede

professional development and technology integration; and (f) students as support for technology

integration in classrooms. A summary of the selection leading to the research gap concludes the

chapter.

Theoretical Framework

The theoretical framework for this research study was the technology acceptance model

(TAM), which is based on the theory of reasoned action (TRA). TAM focuses on the

interactions that occur between a person’s perception of technology and the person’s computer

usage behavior (Davis et al., 1989). Knight (2012) discussed the importance of teachers’

perceptions as a main factor in research on technology integration. TAM is based on the central

beliefs that using technology is effortless and good for a person’s profession, resulting in

technology use (Davis, 1989).

24

Theory of Reasoned Action

TRA focuses on a person’s performance of a specific behavior as primarily determined

by that person’s behavioral intention (Ajzen & Fishbein, 1980). Ajzen and Fishbein further

explained that a person’s behavioral intention is jointly determined by the person’s attitude and

the subjective norm concerning the behavior in question. Attitude refers to a person’s

mannerisms towards a behavior and specific performance of the behavior with limited regard to

the overall performance (Fishbein & Azjen, 1980). Subjective norm is based on the opinions of

others and consists of a person’s perception about whether to perform or not perform a specific

behavior (Venkatesh & Davis, 2000).

While originally introduced as a theory in social psychology, TRA has since been applied

to specific domains like technology. For example, in 1980, studies that focused on the way that

an individual adopts certain behaviors, technologies, or advice were included in TRA (Ajzen &

Fishbein, 1980; Wallace & Sheetz, 2014). In terms of technology, when people view it as

favorable, they are more likely to acquire and utilize it (Ajzen & Fishbein, 1980; Wallace &

Sheetz, 2014).

Technology Acceptance Model

Davis (1989) found inspiration for TAM in technology-focused applications of TRA and

introduced his theory as a tool for understanding technology use based on external factors,

beliefs, attitudes, and intentions (Davis et al., 1989). However, while TRA both applies to theory

and forms the foundation for TAM, some key differences between the two theories exist. Both

TRA and TAM discuss belief as a determining factor in attitude; however, attitude determinants

vary within each theory. Specifically, TRA asserts that “external stimuli influence attitudes only

indirectly through changes in the person’s belief structure” (Davis et al., 1989, p. 984), thus

25

providing a framework to analyze how a person responds to a particular situation. TAM, on the

other hand, is used to provide possible explanations for why the individual did or did not adopt

the technology in question (Davis et al., 1989; Hu, Clark, & Ma, 2003). TRA, therefore,

encompasses intention or behavior and is used as a predictor, while TAM targets user intention

and adaptive behavior. Additionally, TRA combines both perceived ease of use and usefulness

as part of behavioral intention, while TAM holds them as separate and distinct.

Despite the refinement made possible by this distinction, TAM is limited insofar as

perceived ease of use and perceived usefulness cannot explain all user acceptance behaviors

(Juhary, 2014). Therefore, TAM has been modified and expanded to include additional variables

and subjective norms (Venkatesh & Bala, 2013; Venkatesh & Davis, 2000; Wolk, 2009).

Further, TAM has been modified as a tool to explain a person’s utilization of information

technology, specifically the determinants of perceived ease of use and usefulness. The result has

been the development of various models such as the TAM2 (Venkatesh, & Davis, 2000), the

TAM3 (Venkatesh, & Bala, 2013), and the unified theory of acceptance and use of technology

(Venkatesh, Morris, Davis, & Davis, 2003).

These adjusted versions address guidance to practitioners; suggestions for a practical

intervention; facilitation of conditions; and the influences of gender, age, voluntarism or

experience, which are not examined in this study. This study will instead attempt to answer how

student-supported professional development may impact teachers’ technology acceptance and

classroom integration. Because perceived ease of use and usefulness are important factors in this

investigation, the original TAM model was selected for this case study.

Technology acceptance model constructs. The four constructs of TAM are perceived

ease of use, perceived usefulness, intent to use and actual use. While a number of factors

26

influence teachers’ intention to use and actual use of technology in the classroom, two key

factors are beliefs about ease of use and usefulness (Abbitt, 2011; Bingimals, 2009; DeNisco,

2014; Howley et al., 2011; Inan & Lowther, 2010; Ottenbreit-Leftwich, Glazewski, Newby, &

Ertmer, 2010).

Perceived ease of use. The validity and reliability of perceived ease of use determines

user acceptance (Kanchanatanee, Suwanno, & Jarenvongrayab, 2014; Moses, Wong, Baker, &

Mahmud, 2013; Naeini & Krishnam, 2012; Nasser Al-Suqri, 2014). In education, the degree to

which technology is implemented into instruction depends on teacher acceptance (Timothy,

2009), which is heavily influenced by perceived ease of use. For instance, recent research about

attitudes toward laptop use in a sample of 292 science and 278 mathematics teachers

demonstrated that perceived ease of use was a significant predictor of perceived usefulness of

technology (Moses et al., 2013).

At least one study indicated that perceived ease of use influenced the technology use of

students, as well. Naeini and Krishnam (2012) conducted research with a sample size of 201

Malaysian elementary school students focusing on their use of computer games. Specifically,

they examined usage patterns based on perceived usefulness and ease of use. Naeini and

Krishnam found significant positive correlation between these two variables and actual use of the

technology. While perceived ease of use and perceived usefulness resulting in actual use among

students will not be studied directly in the proposed study, it will be an essential component, as

student acceptance of technology will be used as a resource to support both technology

integration into classroom instruction and professional development.

Perceived usefulness. Perceived usefulness is the realization that new technology will

increase or improve overall performance (Davis, 1993). This perception directly affects a

27

person’s intent to use technology (Chen, Chen, & Kazman, 2007; Rouibah, Abbas, & Rouibah,

2011). Researchers have affirmed perceived usefulness as a construct in TAM to determine user

acceptance and actual use of technology (Amin, Rezaei, & Abolghasemi, 2014; Holden & Rada,

2011; Moses et al., 2013; Williams, Slade, & Dwivedi, 2014).

One of these studies examined the level of e-reader use among a sample of 234

consumers, and the researchers concluded that perceived usefulness positively influenced intent

to use (Williams et al., 2014). Williams et al. supported existing TAM relationships, specifically

technology perceived, as being useful was more likely to be accepted and used than was

technology not deemed useful. Other research indicated that the opposite is also true, as Holden

and Rada (2011) conducted a study consisting of a sample size of 99 kindergarten through 12th

grade teachers focusing on educational technology acceptance and usage behavior. They

concluded that when the user did not accept educational technology or did not believe that it

improved work performance, the result was failure to implement the technology into the

classroom.

Intent to use. Research has suggested that the variables discussed previously (i.e.,

perceived ease of use and perceived usefulness) may influence teachers’ intent to use technology

(Holzinger, Searle, & Wernbacher, 2011; Kanchanatanee et al., 2014; Martin, 2012; Potter &

Rockinson-Szapkiw, 2012). This variable mediates the relationship between perceptions and

actual use (Bagozzi, Davis, & Warshaw, 1992). Specifically, studies indicated that teacher

perception of a technology as useful and easy to use directly increased intent to use, which then

influenced actual use (Al-Adwan, Al-Adwan, & Smedley, 2013; Davis, 1989; Davis et al., 1989;

Lin, 2013; Park & del Pobil, 2013b; Yucel & Gulbahar, 2013).

28

Actual use. Researchers have concluded that perceived ease of use and usefulness have

an indirect effect—and intent to use a direct effect—on actual use (Lee, Hsieh, & Hsu, 2011;

Park, Rhoads, Hou, & Lee, 2014).

Validity and reliability of measures of the technology acceptance model. The validity

and reliability of TAM has been examined in numerous research studies (Ma & Liu, 2005;

Mahmood, Hall, & Swanberg, 2001; Moon & Kim, 2001; Park & del Pobil, 2013a; Park & del

Pobil, 2013b; Roca & Gagné, 2008; Tai & Ting, 2011; Wang, Lin, & Luarn, 2006; Wong, Ooi,

& Hew, 2013). More than a decade of research findings has shown that the survey (Appendix C)

used to measure the four TAM constructs is robust and powerful in determining the level of

users’ acceptance of technology (Venkatesh & Davis, 2000), and assessments of the survey have

yielded reliability levels between 0.70 and 0.92 (Agarwal & Karahanna, 2000; Gefen,

Karahanna, & Straub, 2003; Jiang, Hsu, Klein, & Lin, 2000; Klopping & McKinney, 2004;

Selim, 2003; Wolk, 2009). Such high coefficients indicate that the survey provides a reliable

way to measure technology use and its influences.

Related Literature

Changes in teaching practices may be needed in order to effectively teach today’s

students (Huang and Yang, 2014; Matulich, Papp, & Haytko, 2008). Teachers who want to meet

the needs of their students may need to understand and use technology in classroom instruction

(Aviles & Eastman, 2012). In terms of bringing about this change, the degree to which

implementing effective professional development increases perceived usefulness, perceived ease

of use, and intent to use—and thus whether it increases actual classroom use—has long been a

topic of debate.

29

Despite the fact that professional development has been integrated into both public and

private schools at all levels—as well as into higher education—no specific technology

professional development program or strategy has a strong empirical research base to support its

use to increase effective technology integration in classroom instruction (DeNisco, 2014; Gray et

al., 2010; Schnellert & Keengwe, 2012; Skoretz, 2011). However, researchers have suggested

certain elements as being necessary for effective technology professional development (Lawless,

& Pellegrino, 2007; Hayden, Ouyang, Olszewski & Bielefeldt, 2011; Potter & Rockinson-

Szapkiw, 2012). These elements consist of ongoing or long-term support, embedding of

technology into day-to-day activities, and mentoring or coaching (Lutrick & Szabo, 2012;

O’Koye, 2010).

In addition, research conducted by Hutchison (2012) focusing on professional

development and understanding the integration of technology into instruction provided insight as

to four factors that teachers believe would enhance their usage. Open-ended survey questions

focusing on teachers’ perceptions were gathered from 1441 literacy teachers. Data analysis

concluded that teachers need: (a) time to explore and prepare literacy lessons with technology

integration; (b) additional access to technology equipment; (c) knowledge consisting of

background, higher-level thinking, and presenters; and (d) ongoing or follow-up provided by

support personal.

A study conducted by Wang, Hsu, Campbell, Coster, and Longhurst (2014) concluded

similar results. Data collected from 24 teacher participants and 1,060 student participants

examining the technology savviness of students versus teachers resulted in five barriers to

technology integration in classroom instruction. The five barriers included: (a) limited access to

technology, (b) time constraints, (c) limited technology skills and knowledge, (d) limited

30

integration skills, and (e) school policies limiting support and resources. Teachers also

acknowledged that the majority of technology integration was limited to word processing,

presentation tools, and Internet researching.

Effective technology professional development instruction should also incorporate

device, software, or tool operation maintenance and instruction, as well as integrate instruction

that focuses on fostering curricular connections. Potter and Rockinson-Szapkiw (2012) argued

that effective teacher technology professional development should include technology operation,

technology application and technology integration. During this study, technology professional

development will include components addressing each of these variables.

Linton and Geddes (2013) discussed a small school district in North Carolina. The

district’s technology plan provided ongoing long-term support, embedded into day-to-day

activities, mentoring, time to plan and explore, instruction on device and software, fostered

curricular connections, and built teacher technology confidence. The results of the initiative

include the district being recognized as one of the 10 highest achieving in the state, despite being

low-funded. Classroom environments throughout the district are rich in technology integration

as demonstrated daily throughout the district. Specific examples include students creating videos

to send to Olympic athletes or interactive mathematic lessons. Despite the level of technology

integration and student achievement increasing with this initiative, the role of technology

supported by students was not examined. Therefore, more research in this area is needed

because it is unknown to what extent student-support would have on teacher technology usage in

classroom instruction.

31

Influence of Technology Integration on Student Engagement and Achievement

A need exists to more fully integrate technology into classroom instruction. Not only

should students be better able to navigate a highly technological world, but research also

indicates that the use of technology in the classroom results in higher levels of student

engagement and achievement. In terms of the latter, researchers have found not only that

students score higher when technology integration occurred in the classroom and was useful

(Morgan, 2014; Navidad, 2013; Tamim et al., 2011), but also that technology continues to be

underutilized in instruction (Goo et al., 2012; More & Hart, 2013; Sanders, 2009; Tamim et al.,

2011; Teo, 2009).

Students appear to agree, as 80% of student respondents in one study stated that a hands-

on practice of the kind made possible by technology is the best method for learning (Breiner,

2009). In another examination of this question, Hyland and Kranzow (2012) considered the

perceptions of both teachers and students in the use of technology, particularly in the use of e-

texts and e-libraries, in developing critical thinking and self-directed search. These researchers

administered close-ended and open-ended survey questionnaires to 92 students and eight faculty

members from a private, post-secondary institution. Analysis of both student and faculty

feedback revealed that e-materials had a positive influence on students’ learning behavior

involving critical thinking and self-directed learning, which confirmed the researchers’ (Hyland

& Kranzow, 2012) alternative hypothesis. Both students and faculty members viewed e-libraries

as efficient in providing a wide range of information in the shortest possible time.

Analysis of the open-ended questions indicated that the majority of the students believed

they performed better in class upon using the e-materials in the sense that they had access to a

wide pool of the latest information in an organized manner. It should be noted that in this study,

32

self-reporting was used, and it may be possible that the students’ general positivity toward

technology prompted them to overestimate its ability to help them think critically. As such,

more research is needed to better understand the link between technology integration and student

achievement.

A longitudinal study spanning three years concluded similar results. Blanchard,

LePrevost, Tolin, and Guiterrez (2016) investigated ongoing technology professional

development (TDP) of 20 mathematics and science teachers in high-poverty school districts.

There results concluded that teachers who participated in TDP demonstrated an increase in their

technology usage comfort level. Furthermore, the students of teachers that participated in TDP

demonstrated higher assessment scores in both academic areas than students in non-TDP

participant classrooms. The study also identified that student exposure to more than one TDP

teacher resulted in higher achievement scores and substantial academic gains.

Not only does research support the theory that technology integration into classroom

increases student achievement and engagement, but it also supports increased graduation rates.

Yasar, Mailekal, Little, and Veronsei (2014) studied a specific teacher technology training

program that emphasized technology, content, and pedagogy. The study consisted of providing

180 teachers from 15 schools ongoing technology training and support spanning three years.

Data concluded that student engagement and achievement scores in both mathematics and

science increased based off of comparisons conducted on the control and treatment group.

Additionally, graduation rates of schools in the treatment group drastically increased, while no

change was observed in the control group.

Understanding of the potential benefit of technology integration in classroom instruction

may emerge through various learning styles. Huang and Yang (2014) examined preferred

33

learning styles of students and learning occurring in kindergarten through 12th grade classrooms.

The sample size consisted of 28,300 primary and secondary students located in Beijing, China.

All participants were administered the Digital Native Questionnaire by Horizon Research

Publishing consisting of 30 questions. A focus group interview consisting of 28 students

occurred, and participants were interviewed in groups of four using a six-part questionnaire

focusing on content, sequence, materials provided, pedagogy, ICT usage, learning outcomes, and

assessment.

The researchers found that content sequence, pedagogy, learning outcome, material

provided, and assessment learning differed between digital native preferred and K-12 classes

(Huang & Yang, 2014). Huang and Yang provided an analysis of what students needed to learn

in classrooms and demonstrated the pitfalls of current classroom teaching. The research

provided a roadmap for changing classroom teaching and suggested that teaching styles must

change to meet the needs of Generation Y (born 1980-1994) students.

Paradoxically, Generation Y and Generation Z (born 1995-2010) students, in addition to

needing more technology-driven instruction, are already more literate in this way than are

students from previous generations, such as Baby Boomer (born 1946-1964) and Generation X

(born 1965-1979) (Dupont, 2015). Current students feel as if teachers’ technology comfort level

inhibits their technology usage in the classroom (Greer & Sweeney, 2012). Today’s students

have been immersed in technology since birth, resulting in them being more technologically

savvy than their predecessors (Bajt, 2011; Gu et al., 2013). The constant exposure to technology

has been the foundation for the ability of today’s students to try different technology avenues to

obtain success (McAlister, 2009). Greer and Sweeney (2012) stated that over 90% of students

have a computer in their home.

34

Research conducted by Wikia Technology (2013) supports the higher level of technology

expertise associated with Generation Z. The study surveyed more than 1,200 teens ranging in

age from 13 to 18 and focused on teens and technology. Data collection concluded that members

of Generation Z display quick technology adaptive behaviors and use technology in more

advanced ways than previous generations and in a manner that is beneficial to their future.

Influence of technology on student engagement. Another, well-established element of

perceived educational benefit for students is engagement. Research has indicated that

engagement increases as technology is integrated into the classroom. For example, the Turkish

government began a technology integration program called the Fırsatları Artırma ve Teknolojiyi

İyileştirme Hareketi (FATIH) or Movement to Increase Opportunities and Improve Technology

Project in 52 pilot schools across the country. Pamuk, Çakır, Ergun, Yılmaz, & Ayas, (2013)

conducted a study at 11 of those schools and learned that teachers and students viewed

interactive whiteboards (IWBs) as having a positive impact on demonstrations, lectures, and

reports. Additionally, participants also felt that using them increased their motivation to engage

in lectures. In the literature review of Sung and Hwang (2014), similar conclusions were

reached, as the use of technology in learning and classroom instructions tended to increase the

students’ academic interest and motivation.

Other studies provided support for these conclusions about IWBs. To examine the

impact of its use, Esteves, Paulista, Fiscarelli, and Bizelli (2015) conducted a case study in Selmi

Dei III, a primary school in Araraquara, a region of São Paulo, Brazil, which was chosen due to

its excellence in teaching, as evidenced by numerous awards. The school was given two

additional IWBs as part of one of those awards, which brought the school’s total to three (two in

third-grade classrooms and one in a fifth-grade classroom). Through live and videotaped

35

observation, the researchers inferred that students with greater access to IWBs were more

engaged in class discussions and more patient and well behaved while waiting to use them.

Additionally, only a handful of students refused to use the IWB, and Esteves et al. found that the

refusal was due to fear of not knowing the answer, rather than fear of the IWB itself.

For validity, the researchers also interviewed some students about their experience in

using the IWB, and the majority of them expressed an overwhelmingly positive opinion. The

response was that they understood lessons better and found them to be more engaging than those

utilizing a traditional blackboard and notebook. The researchers concluded that despite the

students’ difficulties, technology inside the classroom—simply the presence of it—might have

served as a motivator in learning, thereby triggering student interest. This finding aligns with

another study among teachers in Turkey, who reported that their students were more attentive to

instruction delivered with the help of IWBs (Türel & Johnson, 2012).

In addition to IWBs, research supports iPads™ and computers increase student

engagement (Dietrich & Balli, 2014). Dietrich and Balli (2014) conducted research at three

different schools studying student perceptions of classroom learning and technology. The use of

iPads™ was integrated into classroom instruction at one site. Participants, consisting of 15

elementary students, reported that iPads™ extended learning, often times made learning feel as if

it was play, and provided an opportunity for student control. Students reported similar

conclusions about computers, stating that they preferred to actually use them personally, rather

than just observe teacher usage. The study also discussed student frustration when teachers

lacked the skills to effectively integrate technology into classroom instruction, specifically

pointing out that this led to student confusion and lack of interest.

36

Immediate feedback is a specific component of technology integration in classroom

instruction. It increases student engagement and academic achievement. Muis, Ranellucci,

Trevors, and Duffy (2015) studied the perceptions of kindergarteners in reference to the impact

of technology in the classroom providing immediate feedback. Data collection consisted of

interviews and various apps, only some of which provided immediate feedback. The sample

included 64 kindergarten students. Data analysis concluded that when students did not receive

feedback, they were not as engaged and demonstrated limited gains in achievement. When apps

provided immediate feedback, engagement increased and higher levels of achievement occurred.

Technology Integration in the Classroom

Integrating technology in the classroom has become common practice among some

teachers (Potter & Rockinson-Szapkiw, 2016), and the aforementioned benefits help to explain

why. There are different methods used to promote it within the classroom, and research has

indicated that several strategies, such as linking technology use with improved pedagogy,

helping students function as resources and support, and formalized technology professional

development (especially when featuring mentoring or coaching), can be effective at increasing

technology use by teachers.

Connecting technology to curriculum and instruction. Researchers have investigated

the degree to which teacher perception of relevance of technology to curriculum and

instructional practices relate to technology use in the classroom. Türel and Johnson (2012) used

purposive and convenience sampling to recruit teacher participants that were actively using

IWBs in their Turkish classrooms. There were 174 sixth through 12th-grade teachers who

responded to the survey questionnaire. A typical respondent was a bachelor’s degree holder

under the age of 36 and with fewer than 10 years of teaching experience. The questionnaire used

37

was a researcher-constructed, 26-item Likert scale, which consisted of three subscales: the

effects of IWBs on teaching and learning, the factors motivating IWB use, and the usability of

IWBs. Analysis of the data indicated that the teachers felt IWBs were useful for any subject.

Furthermore, the teachers believed that their pedagogical skills might have improved through

IWB use (Türel & Johnson, 2012).

Utilizing students as technology resources. In addition to linking technology use with

perceived instructional benefits, research has also revealed that students can encourage

technology use among teachers. With access to numerous forms of technology, teachers may

need this kind of assistance in the classroom, and in order to address this need, students have

been trained and taught specific technology tasks (Corso & Devine, 2013; Lau & Yuen, 2013;

Ozel, Ozel, & Cifuentes, 2014; Pamuk et al., 2013). Students in kindergarten through 12th grade

have taken on various roles, primarily troubleshooting with regard to the use of technology in

schools. In some schools, they have even become professional development leaders who teach

basic technology skills to teachers, staff, and other students.

Brooks-Young (2006) discussed the benefits of supporting technology needs of teachers

and schools when students take on various technology roles. The benefits of these roles include

providing students with various opportunities to perform services for other people, as well as

lower school technology costs (Corso & Devine, 2013). As such, students are vital assets to

teachers who implement technology in classroom instruction (Brooks-Young, 2006).

Research investigating students as technology support began in the late 1990s (Corso &

Devine, 2013), and one formalized method for utilizing students as resources is that of student

technology teams, which have been deployed to classrooms when technology issues arise

(Brooks-Young, 2006; Peto, Onishi, & Irish, 1989). Student technology teams consist of

38

students who are taught basic skills, such as how to connect a document camera to a computer,

by technology personnel or librarians. Team members are called upon when these particular

skills are needed in the classroom. As digital world, school resources, and teachers’ needs have

evolved, the roles of student technology team members have changed to include mentoring of

teachers and other students (Corso & Devine, 2013).

Brooks-Young (2006) examined the use of technology teams in two schools in order to

determine their impact. The first school created a group of technology savvy students identified

as “Techno Team,” who were trained by the computer teacher to run several utility programs and

provide software maintenance support. A group of 12 to 15 seventh- and eighth-grade students

were selected yearly as Techno Team members. The second school, by contrast, implemented a

one-to-one technology program that consisted of laptop computers. The technology team at this

school focused on troubleshooting technical issues that might occur on a laptop, and students

were trained by two computer science teachers to fix any minor problems that occurred, as well

as to create a maintenance order for technology technicians on devices having issue that they

couldn’t resolve. The result was that at least one student in each classroom had the skills to fix

or refer out technology issues that might arise (Brooks-Young, 2006).

At times, students have also conducted technology professional development for teachers.

Breiner (2009) wrote about “Technology Wizards,” a student technology team consisting of 26

sixth and seventh-grade students trained throughout an entire school district to provide

technology support to teachers. District training occurred once per month, and some schools

held additional meetings to supplement that training. Technology Wizards were able to provide

first-hand technology training to teachers.

39

With the advances of technology and the educational shift towards technology integration

in classroom instruction, student roles as providers of technology support have begun to change.

Pierce (2012) discussed a specific program called Generation of Youth and Educators

Succeeding (GenYes), in which students are trained to support technology in the school.

GenYes programs encourage student and teacher collaboration through an established curriculum

that focuses on technology skills of Generation Z to enhance technology utilization. Programs

such as GenYes utilize student expertise with technology, but do not focus on student-support for

professional development. Thus, more research is needed.

Corso and Devine (2013) conducted a study concluding that technology integration at the

university level was impacted when students were used as mentors for educators (Corso &

Devine, 2013). Another study conducted by Liu, Tsai, and Huang (2015) examining pre-service

teachers and mentor teacher collaborative technology professional development. Participants

consisted of three groups encompassing a mentor and pre-service teacher in a junior high setting.

Data was collected from focus group interviews, classroom observations, lesson plans, and

video-recorded observations. Data analysis concluded that there was an increase in mentor

implementation of technology into classroom instruction based off of support provided by pre-

service teachers. Although student-supported technology professional development was shown

to be effective at the college level and with pre-service teacher support, the potential for

elementary student support is unknown.

Elementary students have a natural understanding of technology and the Internet based on

their exposure since birth (Bajt, 2011). Elementary students learn through trial and error

behaviors, are technology savvy, are multi-taskers, connect, collaborate and access information

easily, and are able to navigate digital environments with ease (Emanuel, 2013; Gibson &

40

Sodeman, 2014; Hartman & McCambridge, 2011). Today’s students are quicker to adapt to

technology shifts than previous generations were; thus, these students tend to accept technology

faster than their teachers (Bajt, 2011; Gu et al., 2013; Krier, 2008).

A significant limitation of these studies is that none examined the degree to which student

classroom support leads to increases in teacher perception regarding the ease of use or usefulness

of technology. While this study provided evidence that this kind of support does, in fact, cause

teachers to perceive technology as being useful and easy to use (and thus more likely to actually

use), the extent to which this relationship actually exists has not been explored previously.

Research was needed to determine whether this link, which this study supported, actually

does exist. As yet, research on student involvement in the use of technology in the classroom

has primarily focused directly on students who troubleshoot technology issues that arise

throughout the academic day (Brooks-Young, 2006). Limited research has been conducted on

students receiving instruction in how to provide technology professional development for

teachers and administrators and how that might relate to changes in computer integration in the

classroom (Gu et al., 2013).

Formalizing technology professional development. Technology professional

development became a new concept in school districts as a result of the passage of the No Child

Left Behind Act (2001), which required technology integration in schools. More recently,

technology has been embedded in the Common Core Standards, which are being implemented

throughout most of the United States (Yim, Warschauer, Zheng, & Lawrence, 2014). The

required integration of technology into school curricula has resulted in the integration of

technology professional development in school districts across the nation (Dede et al., 2009;

Schnellert & Keengwe, 2012).

41

For learning through technology professional development to be sustained, it has been

recommended that institutions not simply provide the technology, but also invest in training

teachers to use it (Persico, Manca, & Pozzi, 2014). Aside from formal training, some schools

provide access to networking, online forums and social media to enable teachers to communicate

with each other and share their experiences, tips, and struggles in using technology in the

classroom (McLeod & Richardson, 2013). While literature in this regard exists that supports

middle school and college student technology professional development for teachers, no research

exists that discusses elementary student support in technology professional development.

Therefore, this study addressed a gap in literature about the effectiveness of teacher training and

its impact on technology acceptance and use in the classroom.

Significance of professional development. Studies suggest that in order to integrate

technology effectively into instruction, teachers need professional development that is both

timely and applicable to classroom practice (DeNisco, 2014; Ertmer et al., 2012). Teacher

technology professional development is the main factor in teachers’ positive attitudes towards

both technology and the integration of technology into the classroom (DeNisco, 2014; Ertmer et

al., 2012). In a study by Badri, Mousavi, Pour, Geravand and Yeganeh (2015), 190 secondary

teachers took part in a survey to determine the relationship between technology professional

development and technology use in the classroom. The results were that the two constructs had a

significant positive correlation, indicating that technology professional development was

predictive of technology use (Badri et al., 2015).

Gerard, Varma, Corliss, and Linn (2011) suggested that classroom teachers who received

professional development to help them understand how technology enhanced and related to

curriculum were more successful at integrating technology into their classrooms than were

42

teachers who did not. This finding indicates that teachers need to understand how to operate and

effectively use technology to promote student learning, and there are numerous devices available

to help them. Unfortunately, technology professional development is not always effective. In a

study of 600 kindergarten through 12th grade teachers, 93% of those surveyed reported that

technology had positive effects on student engagement; however, 46% of these teachers stated

that they lacked the skills to use technology effectively in the classroom (DeNisco, 2014). In a

broader examination, Howley et al. (2011) found that teachers felt as though they had been

inadequately prepared to provide technology opportunities for students. As such, a need exists

for school administration to implement both additional and more effective technology

professional development (DeNisco, 2014).

Understanding how to integrate effective professional development. A lack of empirical

research supporting professional development as a tool to increase effective technology use in

public, private and higher education classroom instruction exists (DeNisco, 2014; Gray et al.,

2010; Schnellert & Keengwe, 2012; Skoretz, 2011), and additional studies of technology

professional development models are needed. Researchers have suggested that certain elements

need to be present in technology professional development. These elements include connecting

technology to instruction, embedding it into day-to-day practices, and providing ongoing or long-

term support as well as curriculum and technology coaching or mentoring (Duran et al., 2012;

Gayton & McEwan, 2010; Koh & Neuman, 2009; Lutrick & Szabo, 2012; Neuman &

Cunningham, 2009; O’Koye, 2010).

Impediments to Effective Technology Integration

Technology has become a significant part of our everyday lives. Daily tasks have been

performed by technological machines far more advanced than they used to be. In the academic

43

field, technology has been incorporated into lectures and demonstrations; however, despite the

wide use of access to technology in the classroom, some educators still face some struggles that

lead them to discontinue use of technology or opt to not use it at all (Dede et al., 2009; DeNisco,

2014; Howley et al., 2011). The following sections will discuss issues that teachers face with

professional development, as well as technology acceptance and integration in the classroom.

Among them is teacher belief, which acts both on its own and in concert with a lack of

institutional support to reduce perceived usefulness and ease of use; intent to use; and actual use

of technology (de Grove, Bourgonjon, & van Looy, 2012; Kusano et al., 2013).

Lack of training and technical skills. In some institutions, funding and facilities seem

to be sufficient, while technology use in the classroom suffers. Asodike and Jaja (2012)

investigated this phenomenon in both public and private primary schools in Rivers State,

Nigeria, and surveyed a sample of 2,100 head teachers, teachers, and students. The

questionnaire used was the Primary School Information and Communities Technology (ICT) Use

Survey, which measures facilities that schools have and how often they are used. The instrument

also measures the factors that hinder the use of ICT facilities, as well as the teachers’ perceptions

of their use.

The results of this investigation indicated that most of the primary schools had at least

one desktop computer per classroom; however, the majority of teachers felt that they did not

have adequate skills in computer operations, as most of them had not undergone training.

Because this study was conducted in Nigeria and amongst a teacher population that lacked access

to technology professional development, its applicability to teachers in the United States may be

limited. However, regardless of the sophistication of the technology in use or the skill level of

44

the teachers using it, a lack of professional development may impede integration (Asodike &

Jaja, 2012).

Lack of motivation for initial or continued technology use. One promising new

technology involves the use of virtual worlds. While research supports teacher interest in using

this technology for teaching, increased interest does not result in corresponding increase in actual

use (Gregory, Scutter, Jacka, McDonald, Farley, & Newman, 2015). To examine this

discrepancy, Gregory et al. (2015) disseminated a self-constructed online survey to 134

institutions across 28 countries, and data analysis consisted of information collected from 223

respondents. A total of 36 percent of the respondents had not used virtual worlds for instruction,

but 60% reported that they would like to try implementing this technology into their classroom.

Of those respondents who were currently using virtual worlds, 84% had used them in the past,

and 90% reported that they wanted to continue using the technology. Interestingly, 18% of the

respondents had used virtual worlds for teaching in the past, but had stopped using it for some

reason. Analysis of the responses on the questionnaire indicated that teachers had either never

used the technology or had stopped using virtual worlds due to technological issues, student

difficulties, institutional issues, and personal perceptions.

Investigating more general technology use, Aypay, Celik, Aypay, and Sever (2012)

studied pre-service teachers in Turkey to examine their intended use of technology in classroom

instruction in the future. The aim of the research was to utilize the framework of TAM to

provide information regarding new teachers’ perceptions of technology use in the classroom.

Convenience sampling led to the inclusion of 487 participants, all from Rize University in

Northeast Turkey. Structural equation modeling of results suggested that the pre-service

teachers’ intention to use technology was influenced by perceived usefulness, attitudes toward

45

computer use, and computer self-efficacy (all of which are aspects of TAM). Other studies (Teo,

Ursavas, & Bahçekapili, 2012) have yielded similar results, indicating that acceptance of

technology use tends to be influenced by perceived ease of use, which varies depending on the

complexity of the technology in question.

Some research has suggested that teachers’ lack of motivation towards technology use

may persist in spite of professional development. Chien, Kao, Yeh, & Lin, (2012) conducted a

study consisting of 322 Taiwanese primary school teachers who had experienced Web-based

professional development. The study focused on attitudes and motivation towards technology

use in the classroom. Despite the professional development, 160 participants reported fewer than

12 hours per week of Internet use. By contrast, 73 reported 13 to 24 hours of use per week, and

89 reported more than 25 hours per week. The researchers administered the 30-item Motivation

toward Web-Based Professional Development Survey to measure personal interest, social

stimulation, external expectation, practical enhancement, and social contact. The researchers

also administered the 27-item Attitude toward Web-Based Professional Development Survey

with the subscales addressing perceived usefulness, perceived ease of use, affection, anxiety, and

behavior. Analysis of the data revealed that different motivating factors had different influences

on attitudes toward technology use. Teachers whose primary motivation for technology use was

personal interest tended to have more positive attitudes towards use, while technology use due to

external expectations corresponded with negative attitudes (Chien et al., 2012).

Blackwell, Lauricella, Wartella, Robb, and Schomburg (2013) reached similar

conclusions when they strove to find out what impeded the use of technology among early

childhood education teachers, despite availability of the devices. The study followed the

framework of TAM to address the problem. An online survey was disseminated to 1,329 early

46

childhood teachers who taught children under the age of four. The questionnaire was researcher-

constructed and contained 46 items. Two levels of independent measures: extrinsic

characteristics (school type, school-level socioeconomic status, technology policy, and

professional development) and personal characteristics of teachers (demographic characteristics,

and attitudes toward and perceptions of technology use) were examined.

Results revealed that the devices most available for teachers were digital cameras, laptop

or desktop computers, and TV/DVDs. The least accessible devices were mp3 players, e-readers,

and tablet computers. In terms of school type, center-based programs were the least likely to

have access to technology in general. Teachers who believed that technology was helpful for

administrative tasks alone tended to use the devices less often than did teachers who felt more

strongly about the benefits of technology integration for pedagogy and student achievement

(Blackwell et al., 2013).

Poor attitudes and beliefs toward technology use. It may be that a lack of motivation

for initial or continued technology use results from poor attitude, which may also impede

technology integration in the classroom. Al Bataineh (2014) studied the relationship of teacher

attitudes and perceptions of competency towards the use of technology in classroom instruction.

Convenience sampling led to a study consisting of 221 Jordanian, seventh through 12-grade

social studies teachers who were asked to complete an Arabic version of the Technology in

Education Survey. This version contained 22 items with three subscales: demographic

information, attitudes towards using technology, and competency for using technology. Results

suggested that in addition to teaching experience positively correlating with perceptions of

competency, these perceptions also correlated strongly with attitudes. As such, the findings

47

suggested developing teachers’ acceptance and attitudes help to promote their feelings of

competency in using technology (Al Bataineh, 2014).

Qualitative research on beliefs towards technology usage has yielded similar results.

Chien, Wu and Hsu (2014) conducted such a study of teachers’ beliefs through semi-structured

interviews. The researchers contended that belief is a highly personal and context-based

construct that is revealed more appropriately through language. Forty junior or senior high

school science teachers, with teaching experience ranging between three and 15 years and an

average age of 43 years, were selected through convenience sampling. The data was coded

through an iterative process, and divided into the teachers’ beliefs about technology-based

assessments (TBAs, behavioral, control, and normative) and the frequency of use (non-user,

occasional user, and frequent user).

For the behavioral beliefs, four themes emerged: TBAs presented many uses for the

teachers; Web-based TBAs appeared to be the most useful; most teachers faced difficulties in

using TBAs in spite of perceptions of usefulness; and experiences and personal preferences

affected TBA use. For control beliefs, two themes emerged: The teachers felt that they lacked

time and financial support in TBA use, and participants perceived support as being ineffective,

(i.e., facilitating rather than mentoring). For normative beliefs, there were also two themes: The

teachers felt that TBA use would not be supported by the school administration or the parents,

and the teachers were unsure of the advantages and disadvantages of TBAs in student learning

(Chien et al., 2014). These results suggested that even though TBAs were largely seen as being

useful, a combination of perceived lack of support and poor attitudes compromised the ability of

perceived usefulness to influence intent to use and actual use of technology.

48

Responses to Effective Technology Integration Impediments

Institutions are typically aware of the issues that their educators face with regard to

technology integration in the classroom, and in general, have taken action to address those issues

(Kipsoi, Chang’ach, & Sang, 2012). Some institutions have employed coaches or mentors to aid

their teachers (Li, 2015); some have conducted workshops to enhance their teachers’ technical

skills; and others have trained their students as technology troubleshooters that the teachers can

call for assistance (Pamuk et al., 2013). While these interventions may be effective,

impediments such as poor attitudes or a lack of motivation or support still exist. Researchers

have examined ways to overcome these obstacles, and studies have found that coaching and

mentoring, training, increased access, and student support all work by various means to increase

teacher use of technology.

Coaching and mentoring. Coach and mentor are terms that are used in many

professions; therefore, multiple definitions for these terms exist (Bennett, 2010). Megginson and

Clutterbuck (2005) discuss coaching as guidance targeted at improvement in a targeted skill,

while Bennett (2010) suggested that coaching is often short term and organized by objectives.

Mentoring, on the other hand, is a long-term process where someone with experience guides

someone with limited experience (Bennett, 2010; Dilts, 2004; Hobson, 2003). While both utilize

objectives, mentoring involves guiding a person through specific concepts, while coaching helps

people to ultimately create their own objectives and develop resources to accomplish them

(Bennett, 2010). Despite these differences, Pask and Joy (2007) argued that they should not be

viewed as two different exclusive concepts, but as a unified entity.

Researchers have demonstrated that a mentor or coach is effective in supporting changes

to teacher practices in classroom instruction (Bennett, 2010; Cain, 2009; Hayden et al., 2011;

49

Machado & Chung, 2015; O’Koye, 2010; Resta, Huling, & Yeargain, 2013). Additionally, a

mentor or coach’s presence in the classroom affects whether a teacher integrates technology into

instruction (Duran et al., 2012). Indeed, this guidance is so influential that researchers have also

provided evidence that it is more effective than traditional, in-service technology professional

development (Bennett, 2010; Cain, 2009; Hayden et al., 2011; Machado & Chung, 2015;

O’Koye, 2010; Resta et al., 2013).

O’Koye (2010) conducted research consisting of 14 teacher participants and concluded

that teachers who worked with technology coaches demonstrated a significant increase in

feelings of efficacy towards technology use in classroom instruction. O’Koye quantified

technology coaching as the “number of hours that a teacher has spent with an instructional

technology resource teacher in a face-to-face session” (p. 16). Data was collected through

participant interviews and a three-part survey measuring the participants’ levels of technology

integration, computer efficacy, and time spent with the technology coach. The participants

credited changes in technology implementation in the classroom to support provided from the

technology coach.

In a similar study, Blackmon (2013) suggested that school district technology

professional development based on the single-day model is least likely to result in technology

integration in classroom instruction. A total of 230 middle school teachers were given a survey

called Training Methods for Learning Instructional Technology, which collected data on

teachers’ demographics and their perceptions of professional development for learning classroom

instructional technology. The instrument consisted of 12 questions referencing nine professional

development methods, and teachers were asked to rate each method on a five-point scale. Of all

nine methods, the one perceived to be most effective was peer support or mentoring.

50

Additional research suggested that these perceptions correlate with reality, and

importantly, that the benefits of coaching or mentoring are ultimately felt by students. Hayden et

al. (2011) conducted a similar study using a structured professional development program called

the Investigation for Quality Understanding and Engagement for Students and Teachers

(iQUEST). This program, which included a mentor, was provided to educators for the purpose

of strengthening their abilities and comfort with technology integration in classroom instruction

to enhance science lessons for students. The resulting report stated that student performance was

positively affected by teachers’ professional development, resulting in significant gains

throughout the school year (Hayden et al., 2011).

Despite the apparent benefits, many schools have not implemented the mentoring or

coaching technology professional development model. Criticism of the mentoring or coaching

professional development model centers on the requirement of significant school resources, as

well as on the fact that it provides unrealistic compensation for the mentor or coach (Chuang,

Thompson, & Schmidt, 2003; Machado & Chung, 2015). However, as discussed earlier, a

possible solution to reduce the depletion of school resources resulting from mentoring or

coaching is to include students in technology professional development. Because students

demonstrate a strong use and knowledge of technology, they can support teacher technology use

during instruction (Bajt, 2011; Gu et al., 2013), and some organizations such as GenYes promote

student-led technology support in schools, especially those without expert technology integration

personnel (McLeod & Richardson, 2013).

Training and workshops. Perhaps because of the criticisms associated with mentoring

or coaching models, many districts continue to incorporate the training or workshop model. In

the training or workshop model, technology is discussed and modeled, and/or participants are

51

shown how to use a specific device, program, or software. The specific structure of the training

may vary, but single-day technology professional development in order to meet the needs of

teachers is common (Borthwick & Pierson, 2008; Dede et al., 2009; Potter & Rockinson-

Szapkiw, 2012). However, research has not supported this model as an effective way to

implement professional development because studies have indicated that very little change in

regards to the use of technology in classroom instruction results from it (Blackmon, 2013;

Lutrick & Szabo, 2012; Kesson & Henderson, 2010). In Blackmon’s study, the sampled teachers

deemed several professional development methods ineffective. Among them were non-credit

workshops provided by the school district or an outside consultant, drop-in clinics or open labs,

independent, online help, and summer institutes consisting of weeklong training during the

summer (Blackmon, 2013). Despite varying widely in form, each involved a one-time training

without any in-classroom support to aid teachers in applying learning to the instruction of

students.

Total consensus eludes the literature regarding the ineffectiveness of one-time

professional development trainings. Lau and Yuen (2013) emphasized the importance of

training to promote technology use in the classroom through the findings of their study with a

sample of 90 secondary school teachers in Hong Kong who volunteered to join a technology

professional development workshop. The participants attended five three-hour workshops

emphasizing content, focus, active learning, coherence, duration, and collective participation. At

the end of each one, participants were asked to complete an evaluation of the session and their

attitudes toward technology use. At the end of the first session, demographic data was also

collected, and at the end of the fifth session, an additional questionnaire about the actual use of

technology was administered. Results indicated that the participants generally increased their

52

perceived efficacy in using technology to teach, as well as their belief in using technology to aid

in teaching.

Overall, introducing technology in classroom instruction was said to aid students’

education in general; however, it is important to note that two key limitations to this study exist.

First, participants were selected from a group of teachers who had elected to take part in an

extended workshop; therefore, it is possible that their perceptions of technology were already

very positive, and their attitudes may have influenced responses to the survey questions. Second,

the participants were asked to forecast their future use of technology, and their predictions,

perhaps because of the positive attitudes they brought with them to the training, may have been

influenced by their apparent optimism. More research is needed to determine to what extent

these perceptions correspond with reality.

Increased access to technology. Some research has suggested that increasing teacher

integration of technology may be achieved simply by giving them more access to it. In a cross-

cultural study, researchers compared American and Japanese elementary school teachers’

perceptions on technology use in classroom instruction (Kusano et al., 2013). A group of 99

teachers from Utah and 67 teachers from Hokkaido, Japan, were recruited. The age of the

American teachers ranged from 22 to 57 years, with generally 6 to 10 years of teaching

experience, while the majority of the Japanese teachers were 22 to 30 years old and had fewer

than five years of teaching experience. The Teachers’ Technology Attitudes survey by Holden

and Rada (2011)—with subscales on perceived ease of use and usability, perceived usefulness,

and attitudes toward using technology derived from TAM—was the instrument used in the study.

Demographic data, availability of technology, and frequency of technology use were also taken

into account. Results revealed that the American teachers were significantly more positive in all

53

areas and had more access—and thus more frequent use of technology—than their Japanese

counterparts. As such, it appeared that access to technology prompted its use.

Summary

Despite the increase in technology professional development provided to teachers,

teachers are still struggling with integrating the ever-changing technology of the 21st century into

classroom instruction. Teachers have reported that they are not comfortable with incorporating

technology due to a lack of skills and training, resulting in a need for more effective technology

professional development. Teachers have also reported that traditional professional development

consisting of single-day instruction was not effective. Technology professional development is a

key component in increasing teacher technology acceptance and integration in classroom

instruction, but professional development has rarely resulted in these outcomes.

This descriptive case study was needed to determine if an elementary student-supported

professional development model resulted in teacher technology acceptance and integration in

classroom instruction. This chapter included a discussion of the TAM as the theoretical

framework for this study, as well as empirical research related to technology professional

development, professional development, students and technology and a discussion focused on

Generation Y and Generation Z students.

54

CHAPTER THREE: METHODS

Overview

The purpose of this descriptive case study was to study teachers’ technology acceptance

and classroom integration in the context of a student-supported professional development model.

Miller (2002) concluded that teachers see a need for students to participate in technology

professional development activities. Five elementary teachers located in the southern part of the

United States who participated in a student-supported professional development model during

the 2013-14 and/or 2014-15 school years as part of a district technology integration rollout plan

served as participants in this study. In addition, two administrators who observed student-

supported technology professional development at least three times during the 2013-14 and/or

2014-15 school year were participants in this study. A survey, open-ended face-to-face

interview questions, and archival data consisting of classroom observations conducted yearly

between 2013 and 2015 as part of program evaluation were used to collect data. The research

design, research questions, setting, participants, data collection methods, and data analysis are

explained in this chapter.

Design

A descriptive case study was selected as the research method because it is open ended

and allows for an in-depth understanding of what is being studied (Creswell, 2013; Merriam,

2002). The result of qualitative research is an understanding of a complex issue and can extend

experiences or add strength to what is already known (Shen, 2009). The focus of this study was

to promote an understanding of the complicated intersections between teachers’ technology

acceptance and classroom integration in context to a student-supported professional development

model.

55

This study method was selected due to the fact that it allows for the research to focus on

multiple perspectives (Creswell, 2013). A case study is used when an investigation and a holistic

view are needed, and it requires the researcher to see and then measure the data collected (Feagin

et al., 1991; Stake, 1995). During this case study, I took on a more personal and connected role,

thus providing an in-depth understanding of participant perspectives (Stake, 1995).

Creswell (2013) stated that descriptive case studies uncover themes and provide rich

descriptions of the topic being studied. The goal of a descriptive case study is to document all of

the particulars, thus providing specific details and often answering numerous questions,

specifically “how” (Merriam 2009; Miles & Huberman, 1994; Stake, 1995; Yin, 2013). The

skills of asking good questions, actively listening, adapting, displaying knowledge of topic

studying, and maintaining objectivity during data collection are necessary for me, as a

descriptive case study researcher, to implement (Yin, 2013).

This descriptive case study developed an understanding of an intervention: student-

supported professional development model as it pertains to a real-life context, teachers’

technology acceptance and classroom integration (Creswell, 2013; Merriam, 2009; Miles &

Huberman, 1994; Stake, 1995; Yin, 2013). Research on this topic at an elementary school level

did not exist when I conducted the review of the literature; therefore, the use of a descriptive case

study provided a deeper understanding of experiences leading to patterns and themes in data

(Creswell, 2013; Merriam, 2009; Yin, 2013). A case study consists of evidence conducted from

six possible primary resources: documentation, archival records, interviews, direct observations,

participant observations, and physical artifacts (Yin, 2013). The case study being conducted

dictates which methods will be used to develop an understanding of the phenomenon being

studied. Not all of the six primary resources of evidence need to be utilized in every case study.

56

However, it is important to ensure that there are multiple sources in order to guarantee that the

reliability of the data is established. This is a process known as triangulation (Stake, 1995; Yin,

2013).

Triangulation was ensured through teacher face-to-face interviews (Appendix A),

administrator face-to-face open-ended interviews (Appendix B), a survey (Appendix C), and

archival data consisting of observations conducted yearly during the 2013-14 and 2014-15 school

year as part of program evaluation. Three of the most common types of data collection used in

technology and industrial education studies are observations, interviews, and document analysis,

which correspond to the data collection methods that were employed in this descriptive case

study (Evanciew & Rojewski, 1999; Foster & Wright, 2001).

Yin (2013) stated that qualitative data analysis includes an in-depth evaluation of

research, which leads to data reduction and tabulation. This descriptive case study followed the

process of data being coded, resulting in categories that led to themes (Saldaña, 2013). The

specific process for this descriptive case study involved Yin’s (2011) five-phased cycle. The

following occurred throughout the compiling, disassembling, reassembling, interpreting, and

concluding phases: (a) organize data, including transcribing and saving it, (b) upload into

NVivo™ software, (c) open coding consisting of items, sentences, words and long passages were

grouped and sequenced, (d) categories resulted in nodes, then (e) themes (Yin, 2013). Due to the

projection of vast amounts of narrative text, NVivo™ data analysis software was used to organize

codes and categories. Open-ended interview data and archival data consisting of observations

collected yearly during the 2013-14 and 2014-15 school year as part of program evaluation was

entered into the software.

57

Research Questions

Three research questions for this descriptive case study are as follows:

RQ 1: How will the integration of a student-supported professional development model

impact teachers’ perceived ease of use, perceived usefulness, and intent to use technology

in classroom instruction?

RQ 2: How will the integration of a student-supported professional development model

impact teachers’ actual use of technology in classroom instruction?

RQ 3: What evidence suggests that student-supported professional development for

technology is responsible for teachers’ technology integration into classroom instruction?

Setting

This study was conducted at an elementary school located in the southern part of the

United States. Research supports that teaching styles vary within a single school district is

greater than across school districts (Sawchuk, 2008). Only one elementary school is present in

the district where this study occurred. The district hired me as the instructional technology

director for the district in August of 2013. My job was to focus on facilitating instruction and

supporting the tools teachers need to implement technology into classroom instruction and

curricula. Since my responsibilities also included creating and implementing a district-wide

technology integration rollout plan, I conducted all professional development sessions and

collected archival data consisting of classroom observations conducted yearly during the 2013-

14 and 2014-15 school year as part of program evaluation. In order to control for researcher bias

that can occur in qualitative data collection such as with observations, I used a specific template

modeled after Creswell (2008) that allowed me to focus primarily on what I saw, recording what

I heard verbatim, and what was occurring in terms of classroom technology integration. Notes

58

were immediately recorded in a reflective journal (Appendix J) as a tool to ensure that all

recorded material was free of my personal bias.

The district that this elementary school belongs to implemented a one-to-one laptop

initiative in the 2013-14 academic year, resulting in all students in grades three through 12

having access to a laptop by the beginning of the 2014-15 school year. In addition, the school’s

kindergarten through fifth-grade classrooms had access to three iPad™ carts containing 25

devices each and two computer labs with 25 devices available to be checked out by teachers for

classroom use. Each teacher had an iPad™ and either a laptop or desktop computer. Weekly

computer classes consisting of typing, login instruction, Google™ applications, other basic skills,

and iPad™ fundamentals were also provided to all students. This site was deemed appropriate for

the study because it benefitted from a district-wide technology integration initiative, and was in

the process of incorporating technology into classroom instruction and curricula, as well as

included students in technology professional development during the 2013-14 and 2014-15

school year. In conclusion, this particular school was an ideal location to examine the utility of

this type of professional development, as well as to support an area that the leadership in the

district was focusing on improving.

The subject school had an enrollment of 458 students, the demographics of which were

95% Caucasian, 2% Hispanic, 1.5% African-American, 1.3% Native American, and 0.2% Asian.

Of those students, 46% qualified for free and reduced-cost lunch. The school averaged a 96%

daily attendance rate. The student to teacher classroom ratio was 17:1. The average number of

years of teaching experience was 14.7, and 60.7% of the teachers had a master’s degree or

higher. The average teaching salary in the district was $42,665.

59

Participants

Participants for this study were selected using purposeful sampling (Creswell, 2013),

which involved selection based on a specific set of criterion (Glesne & Peshkin, 1992).

Purposive sampling remains a technique commonly used for qualitative studies that focus on the

inclusion criteria for its sample (Barratt, Ferris, & Lenton, 2014). Purposive sampling was used

for this study, as I included only teachers who received student-supported technology

professional development in either the 2013-14 and/or 2014-15 academic school years with

student support provided by me for at least nine, 45-minute sessions or administrators who

observed student-supported technology professional development at least three times in the

2013-14 and/or 2014-15 school years. In the sample, there were variations between teacher

technology experience, number of years teaching, previous professional experience, and college

degree.

Demographics data demonstrated that all of the teacher participants were female. One

administrator was male, and the other was female. Six of the participants identified themselves

as Caucasian, while one identified herself as Hispanic. The range in numbers of years teaching

spanned from eight to 25, resulting in an average of 14.4 years. Two teachers had their

bachelor’s degree in education, but both were currently working on their master’s degree in

education. The other three teachers had their master’s degree in an educational field. Both of

the administrator candidates had their master’s degree, while the male participant worked on

achieving an additional master’s degree. The administrators had an average of 17 years,

experience ranging from classroom teaching to administration positions. Each participant was

provided with a pseudonym to protect confidentiality.

60

Studies such as this one that use more than one data collection method require a smaller

number of participants (Lee, Woo, & Mackenzie, 2002); while Yin (2013) stated that there

should be more than five. This descriptive case study followed Yin’s (2013) guidelines in

reference to the minimum number of participants needed to gain a clear understanding of

teachers’ technology acceptance and classroom integration in context to a student-supported

professional development model. Additionally, Patton (2002) discussed the importance of

ensuring selection of participants was derived from their ability to provide information that is

detailed. Therefore, five participants who participated in student-supported technology

professional development during the 2013-14 and/or 2014-15 school years and two participants

who observed student-supported technology professional development during the 2013-14 and/or

2014-15 school years were utilized in this case study.

As Yin (2013) discussed the minimum number of a sample size, researchers such as

Lincoln and Guba (1985) stated that sample size is derived from collected information until

saturation occurs. Creswell (2013) explained that data saturation occurs when no new themes

emerge. Nineteen participants were contacted for participation in this descriptive case study, as

they met the criterion. Only seven participants agreed to be part of this study. Seeking

participation from additional participants was not necessary, as data saturation occurred after

data was collected from five. Data was collected from the two other participants, but no new

data was presented; thus, saturation was achieved. Teachers’ technology acceptance and

integration was examined through rich, in-depth details provided by participants (Patton, 2002).

Procedures

Liberty University’s Institutional Review Board (IRB) approval (Appendix D) was

obtained prior to data collection and analysis. Data collection began with me e-mailing a letter

61

inviting teachers and administrators who meet the sampling criteria to join the study (Appendix

E), along with the Informed Consent (Appendix F). The e-mail explained that participation in

the study was optional and that the consent for participation form needed to be completed and

returned via e-mail or in person within two weeks.

When the Informed Consent forms (Appendix F) were obtained, I e-mailed the survey

(Appendix C) to teachers because a nonthreatening and comfortable environment occurs when

data are collected through the Internet (Nicholas et al., 2010). After teachers returned the

completed survey, an e-mail was sent to coordinate the face-to-face, open-ended interviews

(Appendix A), which occurred in each participant’s respective classrooms and without students

present. After administrators returned their Informed Consent (Appendix F), an e-mail was sent

to establish a mutual time in which the participant and myself could conduct the open-ended,

face-to-face interview (Appendix B) in their office.

A panel of experts in the field of education consisting of the Assistant Superintendent,

Director of Curriculum and Instruction, Executive Director of Elementary Education, and

Technology Director reviewed the teacher interview questions (Appendix B). Feedback

encompassed ensuring that participants were provided with the definition of student-supported

professional development prior to answering questions. Additional feedback referenced the need

to clarify whether the word “enjoy” in question four means “comfortable” or “happy” in

reference to technology usage. As a result, the word “enjoy” was changed to address comfort

level. Upon completion of interview transcriptions, each participant was provided with the

chance to member-check their interviews, review findings, and provide feedback.

After administrator’s Informed Consents (Appendix F) were obtained, I arranged the

face-to-face open-ended interviews (Appendix B). A panel of experts in the field of education

62

consisting of a college Education Professor, Director of Curriculum and Instruction, Principal,

and Teacher reviewed the interview questions. Feedback encompassed eliminating question

eight because it was very similar to question seven in reference to no new information will be

gathered. As a result, question seven was reworded and question eight was eliminated. Upon

completion of interview transcriptions, each administrator was provided with the chance to

member-check their interviews. In addition, each participant was also encouraged to review

findings and provide feedback.

Professional development was organized and structured, and each session lasted 45

minutes (Appendix G). Topic selection was based on the district’s technology vision and goals.

Teachers and their respective students were provided with instruction on how to integrate

technology in the classroom and curriculum. Additionally, they were given hands-on instruction

on a specific technology task (Appendix G).

The Researcher's Role

I played an active role throughout this qualitative research study because as the

researcher, I was the primary instrument (Saldaña, 2013). Moreover, at the time of student-

supported professional development integration, I was an employee in the school district where

this qualitative research study occurred. Specifically, I was the district instructional technology

director for the 2013-14 and 2014-15 academic school years; therefore, worked closely with

instructional technology in the school where the study took place. However, I was not an

administrator in the district nor had any direct influence on participant job performance, salary,

retention, or hiring. My job was to focus on facilitating technology integration into classroom

instruction and curriculum.

63

Data Collection

Data was collected from three sources for validation through triangulation (Gall, Gall, &

Borg, 2007; Yin, 2013). These sources included teacher face-to-face interviews (Appendix A),

administrator face-to-face interviews (Appendix B), a survey (Appendix C), and archival data

consisting of observations that were conducted yearly during the 2013-14 and 2014-15 school

years as part of program evaluation. Collection encompassed three principles: (a) multiple

sources of data were used; (b) a case study database was created; and (c) a chain of evidence was

maintained (Yin, 2013).

Survey

The majority of studies conducted in the field of education accessing the TAM have been

conducted at a college level and utilize a quantitative methodology (Wolk, 2009; Wu, 2009).

These studies have focused on the use of the Internet, online shopping, usability of technology,

and course websites (Agarwal & Karahanna, 2000; Fusilier & Durlabhji, 2005; Gefen et al.,

2003; Jiang et al., 2000; Klopping & McKinney, 2004; Lederer, Maupin, Sena, & Zhuang, 2000;

Selim, 2003; Wolk, 2009).

The survey used in this descriptive case study was developed to study teachers’

technology acceptance and classroom integration in context of a student-supported professional

development model and was based on research by Davis et al. (1989). Permission to modify

Davis’ (1989) survey was obtained (Appendix H). Multiple educational studies have modified

the survey based on the topic as a tool to ensure validity (Alharbi & Drew, 2014; Shroff, Deneed,

& Ng, 2011; Smarkola, 2008; Timothy, 2009). Smarkola (2008) discussed that the TAM data

collection instruments are often modified to address the type of technology being targeted.

64

The survey (Appendix C) consists of 23 questions using a 5-point Likert-scale, where 5

represents strongly agree and 1 represents strongly disagree. I administered the survey

(Appendix C) online. Stoltzfus (2005) indicated than an online survey/questionnaire is both a

valid and a reliable survey instrument. A sample survey (Appendix C) question was: Using the

Internet in my classroom can increase my productivity. Other questions focus on user

acceptance such as: I expect my use of the Internet in my classroom instruction to continue in the

future.

This descriptive case study furthered research in the field of education because it was

unknown if teachers’ technology acceptance and integration in context to a student-supported

professional development model would be beneficial. The validity of the survey’s assessing

TAM has been tested in numerous research studies focusing on the ability to predict a person’s

acceptance of technology (Ma & Liu, 2005; Mahmood et al., 2001; Moon & Kim, 2001; Roca &

Gagné, 2008; Tai & Ting, 2011; Wang et al., 2010). More than a decade of research supports the

TAM surveys as being robust and powerful tools in determining user acceptance of technology

based on perceived ease of use, perceived usefulness and intent to use, which lead to actual use

(Agarwal & Karahanna, 2000; Gefen et al., 2003; Jiang et al., 2000; Klopping & McKinney,

2004; Selim, 2003; Venkatesh & Morris, 2000; Wolk, 2009).

The TAM is primarily used for conducting quantitative research (Wu, 2009). The lack of

qualitative TAM studies focusing on technology professional development and the TAM

construct actual use were the basis for this descriptive case study. Since the majority of research

in the literature utilizing the TAM does not measure actual use, an interview for teachers

(Appendix A) and administrators (Appendix B) was used to gauge genuine use (Chang et al.,

65

2012; Roca & Gagné, 2008; Wang et al., 2010). The survey was administered after IRB approval

and before face-to-face open-ended interviews occurred.

Face-to-Face Interviews

Open-ended, face-to-face interviews conducted with teachers (Appendix A) and

administrators (Appendix B) provided a good way to increase informational sources and data

gathering (Yin, 2013). I had some prepared, structured interview questions that were reviewed

by a panel of experts in the field of education, but allowed participants’ the opportunity to freely

provide personal experiences (Farber, 2006; Yin, 2013). I made audio recordings of all

interviews using both a laptop computer and a backup iPad™ app, RecorderApp™, in case

technical difficulties occurred. After interviews were completed, I transcribed them for coding

purposes. Interviews were transcribed word for word, which involved a tedious systematic

review process. Transcriptions included identifying and recording nonverbal communication

including facial expressions that I noted during each interview (Yin, 2011). Due to breach of

confidentiality expressed in two interviews, identifiable information, such as student names and

location of the site, were removed from the written and audio transcripts (Yin, 2011).

Member checking, which ensures that all responses are a direct reflection of each

participant and not the researcher, occurred throughout data collection and analysis (Creswell,

2013; Yin, 2013). Member checks occurred twice in this study. This included after interviews

were transcribed and then again to review the findings. Yin (2002) discusses the importance of

having a case study database and chain of evidence resulting in a detailed analysis, which leads

to validation of “case study conclusions” (Yin, 2009, p.83). Data sources were uploaded into

NVivo™, which is software used for data compiling. In addition, I identified codes and used

66

them to categorize data for theme identification. Four themes were used to answer all research

questions.

All teacher interviews were conducted in the participants’ classrooms without students

present. The two administrator interviews occurred in each of the participants’ office. The

length of each interview depended on the participants’ responses, but lasted about 20 minutes.

By asking participants to explain answers, provide examples, and describe personal experiences,

I was able to obtain in-depth information throughout the interview (Rubin & Rubin, 2005). A

written interview script was read to each teacher (Appendix A) and administrator (Appendix B)

during the interview and prior to the questioning (Emory, 1985).

The questions selected for teacher (Appendix A) and administrator interviews (Appendix

B) were based on the research examined in the literature review and the TAM (Ajzen &

Fishbein, 2000; Davis, 1989; Kiraz & Qzdemir, 2006; Teo, 2009). Interview questions were

designed to focus on the participants’ experiences, beliefs, and feelings about a student-

supported professional development model as it related to the components of the TAM in order

to study teachers’ technology acceptance and classroom integration (Welman & Kruger, 1999).

The questions are provided below and were piloted by teachers after IRB approval and prior to

interviews.

Face-to-Face, Open-Ended Interview Questions for Teacher Participants

1. Please describe your teaching experience, beginning with the number of years you

have taught.

2. Please describe your educational background, technology training and

implementation prior to participation in student-supported professional

development.

67

3. What impact has student-supported professional development had on your ability

to use technology in your classroom?

4. Please describe your comfort level using technology in classroom instruction and

if this changed after participating in student-supported professional development.

5. How often do you use technology during classroom instruction to do a task when

there is a feature to help you perform it?

6. To what extent has student-supported professional development impacted your

future use of technology classroom instruction?

7. To what extent has student-supported professional development impacted time

management while using technology in your classroom instruction?

8. To what extent has participating in student-supported professional development

provided you with a great deal of experience using technology during classroom

instruction?

Throughout the interview, teacher participants were encouraged to elaborate on their

answers and move on to the next question. Question 1 obtained background knowledge of each

participant. Question 2 gained an understanding of teacher educational background to include

technology training and integration prior to participation in the study (DeNisco, 2014).

Teachers’ perceptions of technology usage being effortless was studied through Questions 3, 5,

and 8 (Davis, 1989; Knight, 2012; Timothy, 2009). The perceptions that teachers have towards

the benefits of using technology at work were addressed in Questions 3, 5, 7, and 8 (Davis et al.,

1989; Knight, 2012; Timothy, 2009). Teachers intent of use with regard to technology applied to

Question 3 (Davis, 1989). Teachers’ technology actual use was associated with Questions 3, 4,

68

6, and 8 (Davis, 1989; Davis et al., 1989; Fishbein & Ajzen, 1980; Hu et al., 2003; Knight, 2012;

Wallace & Sheetz, 2014).

Administrators were asked the following face-to-face open-ended interview questions as

a means to gauge their perceptions.

Face-to-Face, Open-Ended Interview Questions for Administrator Participants

1. Please describe your professional and educational background.

2. Please describe technology usage throughout the elementary school prior to student-

supported technology professional development that started in the 2013-14 academic

school year.

3. Please describe your perceptions of teacher comfort level using technology in

classroom instruction and if this changed after participating in student-supported

professional development that began in the 2013-14 academic school year.

4. Please describe your perceptions of student comfort level using technology in

classroom instruction and if this changed after participating in student-supported

professional development that began in the 2013-14 academic school year.

5. Please describe how often and at what level you observe technology usage during

classroom instruction in a classroom where student-supported technology

professional development occurred?

6. Please describe how often and at what level you observe technology usage during

classroom instruction in a classroom where student-supported technology

professional development was not conducted?

7. To what extent has student-supported professional development impacted teacher

technology acceptance and integration into classroom instruction?

69

During the interview, administrator participants provided detailed and in-depth answers.

Obtaining background information of each participation was essential; therefore, Question 1 was

asked. Question 2 addressed technology integration and usage prior to the teacher participants

participating in student-supported technology professional development. Administrators’

perceptions of teachers’ and students’ comfort level while using technology were studied through

Questions 3 and 4 (Davis, 1989). Administrator’ perceptions addressing the frequency and level

of rigor pre-and post-student-supported technology professional development was addressed in

Questions 5 and 6 (Davis et al., 1989). Observations made by administrator participants of

teachers’ technology acceptance and integration into classroom instruction post student-

supported technology professional development was asked in Question 7 (Davis, 1989; Davis et

al., 1989; Fishbein & Ajzen, 1980; Hu et al., 2003; Knight, 2012; Wallace & Sheetz, 2014).

Archival Data: Observations

The final data collection tool was archival data consisting of observations conducted

yearly as part of program evaluation during the 2013-14 and 2014-15 school year. Observations

are the process that involves gathering open-ended information firsthand through watching

people and places in the site where research takes place (Creswell, 2008). The observer can use

all five senses to note phenomena during observations, which the researcher records for scientific

purposes (Angrosino, 2007). Good qualitative observers are able to change roles from one form

of observation to another, which did not occur in this study (Creswell, 2013; Spradley, 1980).

Creswell (2013) identified four types of observations: (a) complete participant, (b)

participant as observer, (c) nonparticipant/observer as participant, and (d) complete observer.

The archival data consisting of observations conducted yearly during the 2013-14 and 2014-15

school year as part of program evaluation implemented the nonparticipant as observer method of

70

observation. Despite the fact that I conducted all professional development sessions during the

2013-14 and 2014-15 school year as part of a district technology integration rollout plan,

observations occurred at a separate time where I was observing and not participating. My role as

a nonparticipant observer was to gain subjective data without interacting with participants

(Creswell, 2013). This allowed me to focus on what was occurring in the classroom.

Observations were unscheduled and occurred three times in 2013-14 and then again three

more times during the 2014-15 school year. Observations occurred in October, January, and

March each year while teachers were conducting instruction. Observations were recorded using

a template (Appendix I) modeled after the example and process provided by Creswell (2008).

The template (Appendix I) included recording aspects specifically focusing on technology

integration, application and operation, teacher interactions and routines, what the students were

doing, what was heard verbatim, and the physical setting. The results were uploaded on the

district teacher-shared drive and included on the yearly technology report provided to the school

board, which was written by me using specific individual codes for each teacher. Therefore, the

documents contained no specific identifiable information.

Data Analysis

Qualitative data analysis for case studies is a spiral or iterative process that involves

examining, categorizing, tabulating and/or recombining evidence to address the original

propositions of case study (Creswell, 2013; Yin, 2013), with the overall goal being to find the

answer to the research questions (Merriam, 2009). The data analysis plan for this descriptive

case study involved looking for themes and trends that were identified throughout the analysis.

Data analysis followed Yin’s (2011) five-phased cycle consisting of compiling, disassembling,

reassembling, interpreting, and concluding. The five-phased cycle included the process of

71

gathering and coding data, which resulted in identifying categories that led to themes (Saldaña,

2013; Yin, 2013). Prior to beginning data analysis, I reread all data collected. I then organized

data including the saving and transcribing of data by participant resulting in individual data

bases, which was then uploaded into NVivo™ software. NVivo™ was used to compile, examine,

and compare archival data consisting of observations conducted yearly during the 2013-14 and

2014-15 school year as part of program evaluation and interviews. In addition, NVivo™ software

strengthened validity and reliability in this case study.

Open coding occurred where I analyzed and connected various items, sentences, words,

and long passages. During open coding, I noticed that many of the Level 1 codes related;

therefore, Level 2 codes emerged (Yin, 2013), such as experience and prior to student-supported

technology. During the first cycle of coding, I identified and labeled codes. The second cycle of

coding involved the sorting and categorizing of data where categories and themes were

developed (Appendix K). This cycle is where I determined relationships among data. NVivo™

software noted the frequency for which a specific code occurred. Coding is the backbone of

descriptive case study analysis because it encompasses the process of developing themes or

dimensions and building detailed descriptions (Creswell, 2013). Coding allowed me to discover

patterns and was used as a method to organize data (Auerbach & Silverstein, 2003). Each

participant’s data was analyzed individually for themes, and then all results were compared to

identify reoccurring themes.

Saldaña (2013) stated that manual coding is rarely correct the first time completed;

therefore, interview transcripts and archival data consisting of observations conducted yearly

during the 2013-14 and 2014-15 school year as part of program evaluation were uploaded into

the NVivo™ data analysis software. I discovered and used four themes that were identified to

72

provide a holistic picture of this descriptive case study. Saldaña (2013) noted that themes are an

outcome of coding.

Back-up files for all data, including transcripts and other documents for review, are

contained in a password-protected thumb drive and stored in a locked file cabinet. Transcripts

were e-mailed to participants through Gmail using DodoShare™, which password protects

electronic documents, so that member checks can occur. Pseudonyms, such as “Mary,” were

assigned to each participant. An understanding of teacher’s perceptions pertaining to technology

and usage behavior was examined using the survey (Appendix C) by reviewing perceived ease of

use, perceived usefulness, and intent to use technology (Davis et al., 1989).

Trustworthiness

Trustworthiness is one tool qualitative researchers use to ensure accuracy in qualitative

research (Lincoln & Guba, 1985). Trustworthiness addresses the following; (a) credibility, (b)

dependability, (c) transferability, and (d) confirmability (Lincoln & Guba, 1985). In studying

teachers’ acceptance of technology and classroom integration in context to a student-supported

professional development model, I considered all influences, which are explained below in

detail.

Credibility

There are multiple ways to achieve credibility in research. Lincoln and Guba (1985)

discussed credibility in terms of the researcher becoming acquainted with participants and the

setting where research will occur. Since I was a new employee to the district when student-

supported professional development was implemented, I established a relationship by e-mailing a

letter of introduction to all teachers in the district. During the 2013-14 school year, teachers

were allowed to determine whether they wanted to participate in student-supported professional

73

development or if they preferred to participate in the traditional, one-day model. Prior to

integrating the student-supported professional development model with teachers who

volunteered, I met with each teacher individually in order to build familiarity. For added

credibility, I asked participants to review their interview transcripts and findings through

member checking.

Three primary methods ensure trustworthiness in qualitative research: (a) triangulation,

(b) member checking, and (c) auditing. Triangulation of data, member checking, and creating an

audit trail were utilized in this descriptive case study. Another way to achieve credibility is

through triangulation, which will be accomplished by using multiple sources to collect data

(Lincoln & Guba, 1985; Yin, 2013). Triangulation occurred through the combination of the

survey, interviews conducted with both teacher and administrator participants, and archival data

consisting of classroom observations that were conducted yearly during the 2013-14 and 2014-15

school years as a part of program evaluation. Triangulation consists of data gathered from

numerous sources used as a tool to determine if findings are consistent (Yin, 2013). Researchers

support that analyzing multiple sources of data and converging them is a strong validation

strategy implemented in qualitative research (Stake, 1995; Yin, 2013).

Member checks and peer debriefing were implemented for quality-assurance. Member

checks were conducted through data collection to ensure accuracy as a means of confirming that

written text and observations were a direct reflection of each participant (Yin, 2011).

Additionally, member checks were used to gain feedback and insight from all participants. Peer

reviews were received in a written form and supported the conclusions of this study.

74

Dependability and Confirmability

Saldaña (2013) noted that when something is dependable, it will yield similar if not the

same results when duplicated. Lincoln and Guba (1985) suggested creating an audit trail to

ensure dependability. The audit trail that was used in this descriptive case study included notes

that were recorded on the password-protected thumb drive and password-protected computer

used for research. Notes included what I, as the researcher, saw, heard, observed, and did

(Brinkmann, 2012). I also created an audit trail consisting of notes created while conducting all

professional development sessions and archival data consisting of observations conducted yearly

as part of program evaluation in both the 2013-14 and 2014-15 school years. Dependability was

achieved during data analysis. Manual errors were eliminated by uploading the face-to-face

interviews and archival data consisting of observations conducted yearly during the 2013-14 and

2014-15 school years as part of program evaluation into NVivo™ software.

Confirmability ensures that the results of this descriptive case study were supported by

the participants and occurred independently of the researcher (Brinkmann, 2012). To achieve the

accuracy stressed by Yin (2013) as being important, I remained focused on data collection

methods and analysis. Furthermore, I conducted an audit trail (which Brinkmann [2012] advises

doing as a means to address confirmability), outlining data collection and data analysis

throughout this descriptive case study. Data was uploaded into the NVivo™ software as a means

of ensuring that manual data analysis errors are not made and then disassembled and

reassembled. A peer review of data occurred with the main goal being “given the evidence

present, is there consensus in the interpretations?” (Ary, Jacobs, Sorensen, & Walker, 2012, p.

74).

75

Confirmability was also achieved through the use of an external auditor. An external

auditor was used because I wanted someone not connected with the research to deduce the

conclusions reached from data (Creswell, 2013). Additionally, an external auditor was free of

bias or expectation, thus they should depict inaccurate conclusions.

Transferability

Yin (2013) stated that the outcomes of one context should be transferable to other

contexts or settings. I provided rich descriptions of participants, setting, sample size, data

collection, and actual data (Lincoln & Guba, 1985). Data collection methods were transferable

because they involved using a survey and face-to-face interview questions that are based on

research conducted by Davis et al. (1989). Direct quotes that were collected through archival

data consisting of observations conducted yearly during the 2013-14 and 2014-15 school years as

part of program evaluation had an impact on this descriptive case study. In addition, direct

quotes collected during the face-to-face interviews of both teacher and administrators also had a

direct impact on this descriptive case study by providing an in-depth understanding of teacher

technology acceptance and classroom integration.

Ethical Considerations

The data collected for this case study is stored in a well-secured location: a locked file

cabinet that was located off-site from where the research occurred and accessible only by me.

All electronic files are password protected along with being saved on a password-protected

thumb drive, which was secured in the locked file cabinet. It was also my responsibility to

protect participants’ identities in this study by providing each with a pseudonym, which was

selected from the Social Security’s top 100 names of all time. A list of participants and their

pseudonyms was placed in the same locked file cabinet. Once pseudonyms replaced actual

76

names of participants and data was recorded, all materials with identifiable names was changed

to reflect the pseudonyms. I am not a direct supervisor to any of the participants. Participation

in the study was optional, and participants knew that their data may be permitted or denied at

will and without consequence.

Summary

This chapter consists of providing support for the methods used in this study. A

descriptive case study was selected because I examined a real-life context answering the question

of “how” (Stake, 1995; Yin, 2013). The purpose of this descriptive case study was to examine

teachers’ technology acceptance and classroom integration in context to a student-supported

professional development model. The literature reviewed provided a foundation for this

descriptive case study and was used as a tool to explain data collection and data analysis. The

details of participants’ selection, my role as the researcher, and a description of the setting were

discussed in this chapter. Teacher perceptions of how technology professional development with

elementary students’ support did or did not increase teacher technology acceptance and

integration in classroom instruction were examined. The results gained from this descriptive

case study may help school districts determine if elementary students should be included in

technology professional development.

77

CHAPTER FOUR: FINDINGS

Overview

The purpose of this descriptive case study was to examine teacher technology acceptance

and integration into classroom instruction in context to student-supported technology

professional development. The study centered on the importance of technology integration and

how technology plays a role in the classroom. Miller (2002) concluded that teachers see a need

for students to participate in technology professional development activities. Elementary

teachers located in the southern part of the United States who participated in a student-supported

professional development model during the 2013-14 and/or 2014-15 school years as part of a

district technology roll-out program served as participants in this study. Themes presented in

this chapter were derived from data collected from a survey, face-to-face open-ended interviews,

and observations conducted in 2013-14 and 2014-15 as part of program evaluation. Further, this

chapter encompasses the present findings and analysis of the following research questions:

Research Question 1: How will the integration of a student-supported professional

development model impact teachers’ perceived ease of use, perceived usefulness, and intent to

use technology in classroom instruction?

Research Question 2: How will the integration of a student-supported professional

development model impact teachers’ actual use of technology in classroom instruction?

Research Question 3: What evidence suggests that student-supported professional

development for technology is responsible for the encouragement of teachers’ technology

integration into classroom instruction?

78

Participants

Purposeful sampling with the following criterion was used for participation in this

descriptive case study: (a) must be 18 years of age, (b) an elementary teacher who participated in

student-supported technology professional development in either the 2013-14 and/or 2014-15

school years provided by me, or (c) an administrator who observed student-supported technology

professional development at least three times during either the 2013-14 and/or the 2014-15

school years provided by me. Pseudonyms were used throughout this descriptive case study to

protect the confidentiality of all participants.

Five teachers and two administrators returned their consent to participate in this study,

which meets the criteria set forth for a case study sample (Englander, 2012; Yin, 2013).

Additional attempts to encourage participation were made via e-mail, but proved futile.

Originally, my goal was to obtain consent from 19 candidates; however, only seven agreed to

participate. Although I was unable to obtain additional participants, this study includes a diverse

group in terms of technology experience, usage, and classroom integration. Data saturation

occurred after data was collected from five participants. Data was collected from the two other

participants, but no new data was presented; therefore, I was able to obtain data saturation.

All teacher participants were Caucasian females. The average number of teaching years

was 14.4, with three teachers having been in the classroom less than 10 years and two teachers

more than 20 years. Three participants had their master’s degrees, while two were currently

enrolled in master’s degree programs. One administrator was male, while the other was female.

Table 1, below, provides specific details about all participants.

79

Table 1

Teacher and Administrator Participants Name Race Education Years of

Educational Experience

Role

Mary Caucasian MA 25 Teacher

Patricia Caucasian MA 22 Teacher

Margaret Caucasian MA 8 Teacher

Elizabeth Caucasian BA + 8 Teacher

Linda Caucasian BA + 9 Teacher

Barbara Caucasian Ed.S 8 Administrator

James Caucasian MA 22 Administrator

Mary

Mary had been an elementary teacher in the southern part of the United States for 25

years, the first seven of which were spent in in special education and the remainder in first grade.

She stated, “I always wanted to be a teacher.” Mary discussed growing up in a home where

education was highly valued; both her mother and father had obtained two-year college degrees.

Mary herself had a master’s degree and had been raised in the community in which she taught.

When first approached about integrating technology into classroom instruction, she

stated, “I hardly know how to use a computer, but if you will help and it is in the best interests of

my students, then I am willing to give it a try.” Additionally, she stated, “Before we get started, I

need to know how to turn the iPad™ on.” When asked about her experience with technology in

classroom instruction prior to student-supported technology professional development, Mary

admitted, “I would say virtually zero. I honestly didn’t use technology a whole lot before this. I

did use the overhead projector, and that was about it.” She also discussed previous failed

80

attempts at integrating technology into classroom instruction that took place prior to student-

supported technology professional development stating, “We had times when we would have to

go into the computer lab and do a lesson and teach ourselves, by ourselves. I pretty much let the

students play games, that’s all I knew how to do.”

Patricia

Patricia had been an elementary teacher of 22 years in the southern part of the United

States, 14 of which had been spent in a rural school district. She shared, “I love watching kids

grow.” She holds a master’s degree in curriculum and instruction and was not raised in the

community in which she taught.

When first approached about integrating technology into classroom instruction, Patricia

stated, “Well, I am willing to try it, but I do not know where to start,” and added that “a lot of

guidance” would be needed. She primarily used technology for administrative purposes. When

asked whether she’d integrated technology in her classroom prior to this study, Patricia

confessed, “No, not a lot. I have not implemented technology much before this.” She went on to

clarify that she had not used it as much as she would like to. “Prior to this, I had basic

technology skills or understanding,” she said, adding that while she had attended multiple, one-

day technology professional development courses, she had not integrated the content into

classroom instruction.

Margaret

Margaret had been a teacher for eight years, all in a single elementary school district

located in the southern part of the United States. During her career, she taught multiple grades,

both in a departmentalized and non-departmentalized setting, and various subjects. “I really

enjoy teaching,” she said. The community in which she taught is much larger than the one in

81

which she was raised. Having obtained a master’s degree in administration, Margaret’s goal was

to become a school administrator.

When first approached about integrating technology into classroom instruction, she

stated, “Get me the devices I need, and I am ready. I am ready right now.” She also stated, “I

have always tried to use technology in the classroom and at home. I feel confident with

technology. If I do not know how to use something, I feel like I can learn how to do it pretty

easily.” When asked specifically about technology integration prior to student-supported

technology professional development she responded:

Prior to this, my kids did all their math tests online. They did things with their math

website games. They also did mini-lessons to help them. Prior to this, I used technology

in the classroom in a manner that was more teacher-led.

Elizabeth

Elizabeth had spent eight years teaching elementary school in the southern part of the

United States. The entire time, she taught the same grade level at the same school, which was

located within 10 miles of where she was raised. “Teaching children is very enjoyable,” she

said. Elizabeth had enrolled in a master’s degree program, but had not yet decided on the

specific concentration. Prior to becoming a teacher, she worked in the clerical field; therefore,

she had a lot of administration technological skills and knowledge.

When first approached about integrating technology into classroom instruction, she said,

“When are we going to start? I have taught myself most of the technology that I know. I like to

explore and learn things on my own.” Elizabeth also disclosed that she had been able to extend

her educational training in technology through various classes and professional development, but

what she’d learned was rarely integrated into classroom instruction.

82

Linda

Linda, an elementary teacher of nine years in the southern part of the United States, said,

“I love what I do.” Six of those years were spent in a smaller district than where she is now, but

she had been raised in a nearby community that was larger. She was working on her master’s

degree in administration and hoped to one day become an elementary principal. When first

approached about integrating technology into classroom instruction, she stated, “I know how to

use technology. I do need some help with implementing it into my classroom instruction.”

When asked about her technology level and experiences prior to this study, Linda concluded,

“Probably about average; not an expert with it. Not used to using them with the students

though.” However, she discussed that she utilized a lot of technology for personal application.

Barbara

Barbara was an administrator with eight years of experience in teaching and

administration in the southern part of the United States. Additionally, she had observed student-

supported technology professional development at least three times in the 2013-14 and/or 2014-

15 school years. She had a bachelor’s degree in education with a minor in special education and

a specialist degree. Her career consisted of teaching special education, kindergarten, first grade,

and early childhood education. When asked about technology integration in classroom

instruction, she stated, “Student-supported technology professional development has increased

the amount and rigor of technology in the classroom. Technology usage has increased.”

James

James had spent seven years teaching and 15 years working as an administrator in the

southern part of the United States. He had observed student-supported technology professional

development at least three times during the 2013-14 and/or 2014-15 school years. Prior to

83

student-supported technology professional development, he noted, “I did not observe the

teachers doing anything with technology. The teachers mainly used the lab like indoor recess.”

After student-supported technology professional development, James noticed a difference in

technology integration into classroom instruction. He stated, “Teachers definitely learned. They

developed much better uses for technology than previously demonstrated.” Regarding recent

technology integration, he stated, “There was one particular activity where students made videos

and did other things where the teachers were impressed that the students could work

independently and exhibit learning and independence, even in kindergarten.”

Results

The three research questions that guided this descriptive case study were answered using

three data sources that consisted of a survey, face-to-face open-ended interviews, and archival

data consisting of observations conducted during the 2013-14 and 2014-15 school years as part

of program evaluation. The TAM survey, which was given prior to the face-to-face, open-ended

interviews, was analyzed as a tool to answer research questions one and two. The survey was

administered online using Survey Monkey™.

All surveys were analyzed (Table 2). The survey (Appendix C) consisted of 23 questions

using a 5-point Likert scale, where 5 represents strongly agree, and 1 represents strongly

disagree. A sample survey (Appendix C) question was: Using the Internet in my classroom can

increase my productivity. Other questions focus on user acceptance such as: I always try to use

the Internet in as many cases or occasions as possible during classroom instruction.

84

Table 2

Technology Acceptance Survey Results Questions Mary Patricia Margaret Elizabeth Linda Average

1 3 3 5 3 4 3.6 2 3 4 5 3 4 3.8 3 3 3 5 3 4 3.6 4 4 3 5 3 3 3.6 5 2 3 4 2 5 3.2 6 4 4 4 2 5 3.8 7 3 3 4 2 5 3.4 8 3 4 4 2 5 3.6 9 3 3 4 2 5 3.4 10 3 3 4 2 4 3.2 11 3 3 4 2 4 3.2 12 5 3 4 2 4 3.6 13 5 3 4 2 4 3.6 14 5 2 1 3 4 3 15 1 3 3 2 2 2.2 16 4 2 3 2 3 2.8 17 5 3 5 3 3 3.8 18 5 4 4 5 5 4.6 19 3 4 3 4 3 3.4 20 1 5 2 5 2 3 21 3 5 3 5 2 3.6 22 3 2 3 1 3 2.4

23 (a) 7 7 12 10 8 8.8 23 (b) 3 4 3 3 6 3.8

The highest overall resulting Likert score on the survey was for question 18, which states:

I expect my use of the Internet in my classroom instruction to continue in the future. Patricia and

Margaret rated this question as a four, while the other teacher participants gave it a five. The

lowest overall participant score addressed question 16, which was: I always try to use the

Internet during classroom instruction to do a task whenever it has a feature to help me perform

it. Patricia and Elizabeth both rated this question with a two, which is somewhat disagree, while

Mary had a four, which is somewhat agree. Elizabeth gave question 22 a one, strongly disagree.

Margaret also stated that she strongly disagreed with question 14, while Mary noted the same

rating for questions 15 and 20. The survey also revealed that the average number of years’

85

participants have used the Internet for personal use is 8.8, while the average number of years that

the Internet has been integrated into classroom instruction is 3.8, which addresses actual use.

Margaret noted that she had used the internet for personal reasons over a 12-year span, but had

only used it in the classroom for three. Linda stated that despite only using the internet for

personal reasons for eight years, she had integrated it into the classroom for six.

Teacher interviews were conducted face-to-face in the participants’ classrooms.

Administrator interviews were conducted face-to-face in their offices. All interviews were

recorded using both a laptop computer and a back-up recording device in case technical

difficulties occurred. Interviews were transcribed by me using Microsoft™ software and then e-

mailed to each participant for confirmation.

Archival data consisting of classroom observations conducted in the 2013-14 and 2014-

15 academic school years as part of program evaluation were retrieved for each teacher

participant. Archival data were originally collected to analyze perceptions of technology usage

and gauge levels of technology integration in classroom instruction as a means of determining

what the school district’s current professional development needs were.

Each teacher participant was observed six times throughout 2013-2014 and 2014-2015

school years (Table 3). All observations occurred in the classroom and focused on technology

integration. At the beginning of an observation conducted March 2014 in Mary’s classroom, she

said to her students, “I am very nervous about doing this without support” and demonstrated

fidgeting behavior. At the conclusion of the lesson, she stated, “That was really easy, and the

students enjoyed it. I enjoyed it! I did not know that I could do that on my own. I am ready to

do more.”

86

Table 3

Archival Data: Classroom Observations Date No Device

Being Used Teacher Using Device

Students Using Device

Students and Teacher

Using Device October 2013 2 1 1 1

January 2014 1

2

1

1

March 2014 0

2

2

1

October 2014 0

1

4

0

January 2015 0

2

3

0

March 2015 0

1

2

2

Upon transcription, observations and interviews were analyzed through NVivo™, which

is qualitative analytic software. Data analysis included Yin’s (2011) five-phased cycle

consisting of compiling, disassembling, reassembling, interpreting, and concluding. The five-

phased cycle included open coding, sorting and categorizing data where categories were

developed, which resulted in themes (Yin, 2011).

Four themes emerged during the analysis of this case study: successful experience with

technology, skill and knowledge development, lack of use prior to intervention/professional

development and evidence of acceptance and integration. All themes occurred multiple times

during both the face-to-face interviews consisting of teacher and administrator cases and archival

data consisting of classroom observations conducted yearly during the 2013-14 and 2014-15

school years as part of program evaluation. The themes were used to answer the three research

questions for this descriptive case study (Table 4).

87

Table 4

Emergent Themes from Research Questions How will the integration of

a student-supported professional development model impact teachers’ perceived ease of use,

perceived usefulness, and intent to use technology in

classroom instruction?

How will the integration of a student-supported

professional development model impact teachers’

actual use of technology in classroom instruction?

What evidence suggests that student-supported

professional development for technology is

responsible for the encouragement of teachers’ technology integration into

classroom instruction? Successful Experience with

Technology Successful Experience with

Technology Successful Experience

with Technology

Skill and Knowledge Development

Skill and Knowledge Development

Lack of Use Prior to

Intervention/Professional Development

Skill and Knowledge

Development

Evidence of Acceptance And Integration

Participants revealed that students included in technology professional development had

the biggest impact on teacher technology acceptance and integration. Mary stated, “I probably

would not be using technology as much as I am if the students had not been included in

professional development. They can do so much more with technology than I ever thought

possible.” Linda concurred, stating, “Student-support has been crucial to my acceptance and

classroom use.” In addition, participants’ acceptance and integration of technology increased as

teachers accepted and understood that they did not have to be technology experts. Participant’s

felt that someone in the classroom would be able to solve any technology issue that arose.

Overall, participants felt as if student-supported technology professional development did

increase teacher technology acceptance and integration. Every teacher participant commented on

their newfound confidence and desire to integrate technology into classroom instruction. All

88

participants discussed the difference in student independence, rigor, and creativity demonstrated

through technology integration in classroom instruction. Further, the participants voiced their

willingness to participate in future student-supported technology professional development based

on the positive impact it has had on their teaching and student learning.

Theme One: Skill and Knowledge Development

Theme one clearly identifies that technology skills need to be better developed to

maximize usage. This relates to the TAM component: perceived ease of use. James suggested

the following regarding student technology skills and knowledge:

In my opinion, the kids have been way more comfortable with technology than the

teachers. The problem was never the kids; the kids were willing to problem solve and

figure it out. The teachers lacked skills and experimentation, and if they would have

been comfortable enough to let the kids figure it out—experiment—it would have been

fine.

Despite noting that student-supported technology professional development increased

teacher acceptance and integration of technology, James also pointed out, “Eventually,

technology integration would have occurred due to student-driven exploration.”

Margaret believed that after receiving student-supported technology professional

development, both teacher and student confidence in utilizing technology improved. She

expressed:

I am very comfortable using technology in my classroom. Well, my kids have progressed

a lot. If you were to have walked in at the beginning of the year and watched them log-

in, it would have taken forever. But now, because they know how to, they can get on the

computer.

89

Classroom observations of Margaret supported this stance. In October 2013 and January 2014,

she employed basic, step-by-step activities that the students followed. In contrast, the third

observation of her, conducted in March 2014, consisted of a student-led activity where students

showcased their technology skills. Regarding her personal progression with technology,

Margaret stated, “I have always tried to use technology in the classroom, and I use it at home.

Prior to this, I had my students play educational games online, which they easily navigated

without my help.” Margaret further supported this by rating question 11 which stated: It is easy

for me to become skillful at using the Internet for classroom instruction, with a four, somewhat

agree.

Margaret also discussed that her acceptance of technology was impacted by fear; she

thought that she had to know everything about technology prior to integrating it into the

classroom. Student technology skills were not considered. She stated:

Prior to student-supported technology professional development, I never thought that I

could learn technology while my students were learning. I always thought that if I were

going to teach them to use something like PowToon’s™, I had to know how to do it

myself first. I learned that I can learn with them, and that it all works out. My kids and I

are able to now work together. If there is something that I do not know how to do, one of

them will know.

Elizabeth shares the sentiment that teachers and students need to acquire technology

skills together to ensure success in technology integration. She said, “I see the need every day

for technology in the classroom. When I use technology with students, I know that one of us will

know how to solve any issues that come up.” She also mentioned that acquiring technology

skills has resulted in her being better prepared; thus, it has been good for her job. “I have found

90

that I have to be more prepared: I need things loaded, I need them up, and I need them ready to

go,” she explained. “That way, I am not hunting for that page or hunting for what I need. I am a

better teacher today then I was before student-supported professional development.” However,

on the survey, Elizabeth noted that she neither agreed or disagreed with question two: Using the

Internet in my classroom can improve my performance. Elizabeth further revealed how

acquiring technology skills and knowledge has changed classroom instruction when she said:

I find that it does actually go quicker, like I said, because I am able to use the iPad™ and

walk around and still project what the students need to see. I am teaching them right

when everybody else learns. I just stop and teach them the level that they need. So, I felt

it has sped up my classroom instruction.

Observations conducted in October 2013 recorded that Elizabeth logged on to her

computer, but it took about 40 seconds for her to turn on the projector and another 70

seconds for her to fumble with the remote while trying to get the image from the

computer to the overhead projector. She moved through the rest of the activity without

any issues arising. During the observation conducted January 2014, Elizabeth and her

students demonstrated technology skills such as logging on and iPad™ fundamentals.

Additionally, she was able to switch between input modes on the overhead projector.

Theme Two: Lack of Use Prior to Intervention/Professional Development

Prior to student-supported technology, there was a limited technology acceptance and its

actual use in the classroom. As observed by James, “We had two computer labs and an iPad™

lab prior to student-supported technology professional development. The teachers were taking

the students to the lab and just letting them play games.” James observed that having a computer

laboratory was helpful for both the teacher and the students:

91

Before student-supported technology professional development, I did not observe the

teachers doing much with technology. There were a few—when I say few, I mean one or

two—that did something like typing; basic skills. I did not see that it was anything that

could not have been done with paper and pencil.

James stated, “Prior to professional development, I rarely saw a teacher use technology other

than using the overhead projector.” He added, “Technology is important in curriculum, but it

was rarely being used before PD.”

Barbara concurred, stating, “Initially there was hardly ever any technology being used.

The carts were sitting there not being used. It was sad.” Regarding the difference in acceptance

and technology integration after student-support, she continued, “Partnering with student-

supported technology professional development has resulted in technology usage during whole

group and small group instruction and throughout many learning activities.”

Observations of Mary conducted in October 2013 and January 2014, prior to student-

support, indicated that she used technology to project a worksheet on the board. Each student

had a copy of the worksheet and reviewed the answers with her. She felt that using the overhead

projector and a document camera were easy tasks for her; thus, that comprised the extent of her

efforts to integrate technology into her classroom.

Patricia described her technology experience thusly: “Prior to this, I had few basic

technology skills. I have taken some technology courses through professional development

classes at a local university, but have not done anything with them. I have not implemented

technology much before this.” In addition, she stated, “Prior to student-supported technology

professional development, I hardly ever used technology. I did use it when I had to.”

92

Despite saying that she had limited technology skills, Patricia implied that she was

willing to integrate technology into classroom instruction if it was beneficial to student learning.

Patricia noted this on the survey as she rated question six: I find the Internet useful in my

teaching, with a four, which is somewhat agree. During classroom observations of her

conducted in October 2013 and January 2014, technology integration was not occurring. Both

observations consisted of students merely copying notes that Patricia wrote on the board. All

observations of her conducted after student-support included technology integration.

Patricia’s familiarity with technology and lack of experience working with students and

technology is similar to Linda’s. In her interview, Linda discussed that she had average

technology skills in terms of personal use, but no experience using it in the classroom with

students. During observations of Linda conducted in October 2013, prior to student-supported

technology professional development, technology integration did not occur. Linda demonstrated

how to solve math problems on the whiteboard. Some students listened, while three were off

task. Thus, I inferred that prior to student-supported technology professional development, there

was limited technology integration, and the majority were teacher-led activities. Patricia

recalled, “I did not use technology very much before student-supported technology professional

development.” Therefore, most—if not all—participants are now more inclined to integrate and

accept technology in the long run.

Despite the various backgrounds and experiences discussed by the participants, it was

evident that all participants used technology for personal needs, but seldom used it for

instructional purposes prior to student-supported technology professional development.

Questions number 23 asked: Number of years using the Internet___/Number of years using the

Internet in classroom instruction, which concluded that participants had anywhere from three to

93

nine more years of personal usage then in the classroom. Patricia expressed how she felt prior to

student-supported professional development saying,

Knowing how to use technology at home is not the same as using it in the classroom.

Using technology in the classroom use to be scary. I use to think, what would happen

if it didn’t work? I would have lost all that instructional time.

In addition, all participants reported that they had received some form of technology professional

development prior to this descriptive case study; however, that did not result in an increase in

technology acceptance or usage during classroom instruction.

Theme Three: Successful Experience with Technology

The student-supported professional development enabled teachers to experience

successful technology integration. Thus, perceptions of technology being effortless and good for

their job occurred. This theme addressed the TAM components perceived ease of use,

usefulness, intent to use, and actual use because participants discussed perceptions and

accomplishments during technology integration. James, one of the administrators, noted, “After

student-supported professional development, teachers were in awe of the things students could

do and the level of learning that occurred when they were provided with technology professional

development.” Barbara agreed, saying that after student-supported technology professional

development, “We used the iPads™ daily. It was used as a small group center, and then they

were also used for basic instruction during the whole group.” She went on to discuss the

increase in rigor that was based on technology integration.

Mary believed that there was an increase in productivity because she was able to observe

the impact of technology integration on student learning and instruction. She rated question

Four, which was: Using the Internet in my classroom can increase my productivity, with a four,

94

somewhat agree. Furthermore, she discussed how technology usage improved accountability in

the classroom. “I feel like it has increased productivity a lot. I have used it for reading centers

while I am doing a small reading group,” she said, adding, “And they’re held accountable by

having something to show for their center time.” Not only did Mary point out the ways that

technology had benefited reading instruction, but she also discussed the effects during

mathematics instruction.

As far as math, I feel like using the lessons and then letting the kids listen to the

lessons has given them that extra little bit of instruction they may have needed. I

can see where, in the future, it would be advantageous to have them pacing at

their own levels, which I could not have done without technology in the

classroom.

After receiving student-supported technology, observations of Mary that occurred in

October 2014 included various levels of technology integration into classroom instruction.

Students were observed working in three stations where learning included activities from Depth

of Knowledge levels three and four. Station activities included students working in groups or

independently. Thus, Mary used technology as a tool to increase classroom rigor.

Patricia also had her own observations with regard to maximizing the use of classroom

hours. “I feel like it’s helped my time management because I can have students do things on

technology while I’m working with other students… I know all my students are learning,” she

said. Patricia further discussed her past and current technology usage stating, “I would not say

that I had a great deal of experience, but I would say that I use way more than I did a few years

ago. I find it easier to troubleshoot with my students.”

95

During observations conducted in Patricia’s classroom in March 2015, students

independently logged on and worked with technology while learning and covering classroom

content. This differed greatly from the first two observations of her. Further, students worked on

a virtual book report and as part of it, they created an animated video describing a specific scene

from the book. While students worked, Patricia told them, “Remember that you have more

options available than we would have if we did not use the laptops.” Thus, technology had

provided the class with additional platforms and outlets to showcase learning. Patricia stated, “I

am able to do so much more in the classroom than I could before student-supported technology

professional development.” She further proved this as she rated question two from the survey,

which read: Using the Internet in my classroom can improve my performance, with a four,

somewhat agree.

Like previous participants, Margaret also credited technology integration for helping her

students become more proficient at finding solutions when she said:

I noticed it has helped them become better problem solvers, not just how to use

technology, but in general. It has helped them to be better communicators because they

help each other with issues on the computer, which then carries over to the regular

curriculum. It has made me a more effective teacher because it allows my students to see

materials in different format. They are also able to present their work in a different

format.

Margaret was also quick to note that the introduction of technology into the classroom

made learning more accessible and advantageous. “It has helped time management,” she

observed. “I do not have to take the time during content to teach them how to do it. They

already know.” She rated question one from the survey, which stated: Using the Internet in my

96

classroom can enable me to accomplish tasks more quickly, with the highest rating of a five,

strongly agree. Additionally, she observed that her students had expanded her own familiarity

with technology. She stated, “They will also explore with it and discover new features, which

they happily share with everyone else.”

Margaret stated that after student-supported technology professional development, she

felt “as if the rigor has increased after I started using technology more in the classroom with

students.” Observations of Margaret conducted in October 2013, prior to student-supported

technology professional development, demonstrated technology acceptance and integration, but

lacked rigor. The level of technology integration was basic, as it was similar to an activity that

could be completed using paper and pencil. Both Margaret and her students were using laptops.

Margaret was demonstrating how to set up a document, which would contain the students’

weekly spelling words written first in a sentence and then in a paragraph. Once she was done

explaining and demonstrating, Margaret closed her laptop and walked around the room checking

student progress.

In October 2014, Margret was observed while integrating technology into classroom

instruction. Students created an animated video independently. Once the videos were published,

the link was copied and placed in the students’ weather book. During the observation, it was

noted that her students needed limited assistance. Margaret stated, “Technology in the classroom

has been great for me. The students are almost always on task now and rarely need to be

redirected. Before, I was spending a lot of time redirecting and getting students focused.”

Through interviews and classroom observations, it can be concluded that Margret views

technology integration as being positive with regard to increasing problem-solving skills,

communication, and classroom management.

97

In reference to current technology practices, Elizabeth discussed the important role usage

played in her classroom by stating, “Students are able to be creative, innovative, and problem

solve due to the use of technology while learning. They have more access to information.”

Further, she offered the following about how her teaching changed based on student-supported

technology professional development:

This is technology that has been exposed to me to utilize, and so I feel like it has

improved my teaching. Providing hands-on experiences, showing the kids how to use it,

how it all connects, and how it all works increases productivity in my classroom.

In January 2015, Elizabeth was observed with the primary focus being the integration of

technology in classroom instruction. This observation clearly demonstrated the effect of

technology in classroom instruction as it enhanced rigor, creativity, and academic content

standards. Elizabeth worked with the entire class on a retelling project. She had placed four

picture cards on each table. The students took a picture of each card in order, wrote a retelling

sentence, and recorded their voice reading their writing. The last step was to upload finished

pieces of work into Google Classroom™. At the end of the lesson, Elizabeth stated, “I still

cannot believe my students can do projects like this. I would have never tried to teach them

something like this. I did not know they had the skills to be so successful using technology.”

She further explained the benefit associated with students being able to read their own

writing and listen to themselves by stating, “My students are catching most of their own reading

and writing mistakes as a result of using technology daily.” For this reason, it was concluded

that technology influenced student learning in Elizabeth’s classroom.

Linda also mentioned that technology made research easier. She cited the help of

survey engines used to gather input from the students. According to her, “Once the

98

students have been introduced to various technology items, we were able to do it with

other content areas including science. I’ve been able to take what they have learned and

move it into ELA.”

Additionally, Linda discussed the effect that technology has had on mathematics

stating, “We’ve also done various things with math; you know making surveys with

Survey Monkey™ and pretty much everything you taught us during professional

development.” Linda clearly identifies a shift in her teaching. She added that her class

had also “started doing vocab squares every week where students are able to demonstrate

higher-level learning. Before, it was just paper, pencil, and at the level of recall.” Linda

supported this by rating question five on the survey, which was: Using the Internet in my

classroom can enhance my effectiveness while teaching, with the highest rating of a five,

strongly agree.

During an observation conducted in March 2014, Linda’s students worked on an online,

high-rigor activity. The students e-mailed Linda when they completed specific components of

the activity. She then checked the teacher portal and provided the student with immediate

feedback. Technology was used as a tool to discuss student work right away and increase rigor.

Indeed, these participants validate the effect technology has made in the classroom,

which was noted through interviews and observations collected as archival data as part of

program evaluation collected yearly during the 2013-14 and 2014-15 school years. Despite the

fact that participants know technology integration is effective, there is still a need for them to

experience its benefits so that they can move toward acceptance and then integration of

technology into classroom instruction.

99

Theme Four: Evidence of Acceptance and Integration

Technology has indeed become a factor in the classroom, and the participants had

different ways of dealing with technology in terms of how they use it to teach students.

According to James, one of the administrators, “A lot of teachers are willing to use it now, after

receiving student-supported technology professional development,.” He continued, “There was

definitely an increase in acceptance and integration. The elementary teachers went from

standard, old-time education processes to actual, some of them, technology use all the time.”

Prior to student-supported technology professional development, James clearly stated that

technology integration was minimal. He described integration before student-supported

technology professional development saying, “Well, 98% of the time, it was pen and paper and

lots of worksheets, drilling stuff into their head, and not upper-level critical thinking. Now

students are learning problem-solving skills, and upper-level critical thinking is constantly

occurring.”

James also noted changes in teacher attitudes and integration after technology

professional development. “Teachers were walking around sharing what they were doing while

using technology in the classroom. They were very proud.” He further discussed particular

activities he observed saying, “One teacher, whom I had never seen use technology during

instruction, had the students making virtual books where they created the picture, wrote their

own text, and recorded their voice reading the text.”

Barbara, the other administrator, was also quick to note that the teachers had accepted the

presence of technology in the school because it seemed progressive. She stated, “The acceptance

and usage of technology by teachers and students has increased. The understanding of the role

technology plays in student learning has increased.” Barbara also discussed the importance of

100

the changes in academics after teacher participants received student-supported technology

professional development. She said that technology had “enhanced student learning and is

engaging.” Barbara further explained the increase of technology acceptance and integration by

saying, “Teachers’ ability to understand that they do not have to know everything about

technology prior to usage in the classroom has been impacted. They now understand that both

the teachers and the students will figure out any issues that occur as a team.”

Mary revealed that she’d had a mental block with regard to incorporating technology into

her classroom. She stated, “Before student-supported technology professional development, I

was full of fear. There was fear there. That was the first emotion. Now, I am like, ‘Give me

more.” To further support this stance, she rated question 17 on the survey, which stated: I

always try to use the Internet in as many cases or occasions as possible during classroom

instruction, with a five, strongly agree. Mary confirmed that her increased confidence level

would impact her teaching when she stated:

I would definitely use technology again in my classroom now that I have had some

training where it is hands on. I have a student-support system right within the classroom

now. It gives me that confidence to know if I do not know the answer, that they might

know [it].

Throughout observations of Mary conducted during the 2013-14 and 2014-15 school

years, she always exhibited technology integration. Examples included using the overhead

projector, iPads™, laptops, the Internet, specific applications, and programs. An example of

Mary’s acceptance and integration occurred during an observation conducted in March 2015.

Both Mary and her students were using technology, and she effectively modeled the platform.

101

The lesson started as a teacher-led activity and then transformed into a student-led one.

Collaboration amongst all stakeholders occurred throughout the lesson.

Patricia discussed how using technology had specifically impacted the way in which she

teaches students to write, saying:

Instead of maybe having them use as much pencil and paper, I have them create

stories. Like on Educreations™ or something like that so they are illustrating and

writing, but it is not so much pencil and paper because they also get to create and

explore.

Throughout classroom observations of Patricia, a trend resulting in an increase in

technology integration was revealed. The first two observations of her conducted in

October 2013 and January 2014 noted that technology integration was not observed.

However, in March 2014, October 2014, and January 2015, Patricia was observed using

technology in the classroom, and in March 2015, her students were using devices

throughout the observation.

In October 2013, technology was not integrated during my observation of Linda.

However, in January of 2014, after receiving one session of student-supported technology

professional development, technology had been integrated. Linda used an overhead projector

connected to a laptop to project a game. She was in charge of the mouse and directed the

activity.

Then in March 2015, observations of Linda portrayed a different level of technology

acceptance and integration: Her students had created a virtual book. Linda’s familiarity with the

technology device was demonstrated by her ability to answer student questions accurately and

clarify student technology struggles before answering. When troubleshooting, she provided

102

guidance to encourage students to problem solve independently. Her students were actively

engaged: The room was quiet, every student had a laptop, and they were creating text from a

story web. Per Linda’s instructions, each page was completed individually and included student-

generated text and drawings or pictures retrieved from the Internet. Additionally, students

recorded themselves reading their text. Upon completion, each one published his or her book

and shared a link to it with the class on Google Classroom™. Students were then able to navigate

the platform and upload pictures with limited questions. These three observations clearly

indicate an increase in technology acceptance and integration. Linda revealed the following

about the impact of technology integration on her students: “I am in awe of the things my class is

doing.” On the survey, Linda rated question six, which read: I found the Internet useful in my

teaching, with a five, strongly agree.

Margaret demonstrated her willingness to accept and use technology when asked to

participate in this type of professional development. Prior to participating in student-supported

professional development she stated, “I love to use technology and would enjoy sharing my

knowledge and experiences with the students.” She went on to say that she always researched

ways to integrate technology, but had limited experience in the actual usage during classroom

instruction. During the interview, she stated, “I learned so much through student-supported

technology professional development. I knew stuff before, but nothing compared to what I can

do now.” She continued, saying, “My students are now doing amazing projects and are able to

demonstrate higher-level thinking all the time.”

Likewise, Elizabeth also maintained that technology helps during whole-classroom

instruction when she said:

103

I use the iPads™ with the Apple TV™ to be able to walk around the classroom and

monitor what each child is doing while I am still turning the pages. I am still directing

the students, and I am still pointing to everything they need. That speeds up the

productivity of the students because I am more accessible to help them, rather than being

stuck at my desk working at the computer.

She further explained the increase of her ability and willingness to accept and

integrate technology in classroom instruction after receiving student-supported

technology professional development saying:

Now I schedule the time to use it weekly. I feel like the students are helping keep me on

target to use that technology because I tell them what times we have it, and then they

make me stay on track to use that technology.

Prior to student-supported technology professional development, Elizabeth pointed out

her success with navigating digital worlds for personal use. Despite her enthusiasm, she

admitted that she rarely integrated technology into her classroom. She stated, “Knowing how to

use technology at home and how to use it at school are two very different things.” However, this

changed after student-supported professional development as she rated question 18 on the

survey, which read: I expect my use of the Internet in my classroom instruction to continue in the

future, with the highest rating of a five, strongly agree.

Observations of Elizabeth in October 2013 did support her ability to adapt and accept

digital worlds, but she demonstrated limited knowledge of how to integrate them. She was

observed providing students with verbal cues as to how to navigate Google™. She gave direct

instruction; thus, each student searched for the same word and copied a specific definition that

was pasted onto a document. Each student was then coached on how to locate an image to

104

represent each word. Visuals to support learning were provided through the overhead projector.

Despite each student using a laptop, the majority of the lesson was teacher-led.

All three observations of Elizabeth included technology integration, but at various levels.

The first two observations incorporated teacher-led technology experiences. A shift from

teacher-led technology experiences to student-led experiences transpired after student-supported

technology professional development and prior to the third observation. That being said,

technology acceptance and integration was occurring in her classroom.

From the four trends identified, it is evident that all three research questions were

answered (Table 5).

Table 5

Research Question and Theme Alignment Research Question Theme

Question One One and Three

Question Two One and Three

Question Three One, Two, Three, and Four

Research Question One

The first research question, “How will the integration of a student-supported professional

development model impact teachers’ perceived ease of use, perceived usefulness, and intent to

use technology in classroom instruction?” This question was designed to establish the role that

student support plays in teacher acceptance and technology integration. Teacher perceived ease

of use, usefulness, and intent to use was addressed through archival data consisting of classroom

observations that were conducted in the 2013-14 and 2014-15 school years as part of program

evaluation, the survey, and interviews.

105

Teacher participants noted that student-supported professional development impacted

their perceived ease of use, usefulness, and intent to use technology. Additionally, they felt that

it was good for their respective jobs and that it did not take as much effort as they previously

perceived that it would. James stated, “Teachers are discussing the positive changes in academic

rigor, behaviors, and critical thinking. One teacher has even discussed improvements in

mannerisms and respect.” He further stated, “Student-supported professional development has

made technology integration easier for teachers and has provided teachers with a sense of

ownership.” James also pointed out that “technology was occuring about 2% of the time. This

program has drastically increased usage.”

Margaret and Elizabeth discussed how skill development increased their perception of

technology being easier to utilize. They further mentioned that the development of technology

skills also increased students’ ability to use technology; thus, providing evidence that student-

supported professional development leads to technology utilization in the classroom being

effortless. Patricia also discussed that using technology in the classroom became easier than it

had been before student-supported professional development; however, she also pointed out that

it is not completely effortless. “I would say it is easier,” she explained. “It’s not as easy as I

would like it to be. It is not as natural as I want it to be. But, I am not giving up.”

Mary further discussed how she perceived using various forms of technology in

her classroom by stating, “I had never used the Apple TV™ until you showed me and my

students how to do that. We actually did use it with a lesson we were doing. The lesson

was better.” Mary added, “I did not use my Apple TV™ before student-supported

technology professional development. It just collected dust.” Linda added that student-

106

supported professional development impacted her ease of use to the point that she was

“helping other teachers.”

Twelve survey questions addressed the TAM component of perceived ease of use.

An example is Question Seven: Learning to use the Internet in my classroom instruction

is easy for me. On the 5-point Likert scale with 5 being “strongly agree,” the overall

rating was 3.6, which would be closest to “somewhat agree.” Mary, Margaret, and Linda

rated this question as somewhat agree or strongly agree, while Patricia had given it

neither agree or disagree and Elizabeth stated somewhat agree. In the same manner,

Question Eight, which also addressed perceived ease of use, had an overall rating of 3.6;

while Elizabeth rated it with a two, somewhat agree, Patricia, Margaret, and Linda all had

given it a four or five. Question Eight was: I find it easy to find what I need or want to

integrate into classroom instruction from the Internet. All questions that focused on

perceived ease of use were rated overall at a 3 or higher; therefore, it was concluded that

participants did not disagree with technology acceptance.

The TAM component of perceived usefulness, which addresses a person’s belief that

using technology is good for their job, correlates to many of these impacts. James noted this

when he said, “I am in classrooms all the time. Student-supported technology professional

development has improved classroom management, independent thinking, and the level of

instruction, rigor. Technology integration in classroom instruction occurs at least 60% of the

time.”

Administrator Barbara also made similar comments. She mentioned, “I am in classes a

lot. Student-supported technology professional development has increased the amount and rigor

of technology in the classroom. Technology usage has increased.” Likewise, Linda noted how

107

technology integration was good for her job when she stated, “My students have benefitted a lot

from this experience. They demonstrate a higher understanding of content now. Their

standardized assessment scores were much higher than previous years. I credit some of this to

technology integration.”

All of the participants viewed technology integration as a primary factor in the expansion

of academic rigor, thus improving job performance. Elizabeth supported this claim when she

discussed that her students have started self-correcting, which she perceives as a result of

technology integration. Mary pointed out that her students primarily worked at a depth of

knowledge levels three or four during technology integration. Furthermore, she referenced

improvements in both mathematics and reading, by saying:

I feel like we have utilized it for math lessons. We have also used it for enrichment in the

science and social studies areas. I feel like we are able to do that a little bit more than I

normally would have been able to do.

Mary addressed the non-academic benefits with regard to why technology integration was

helpful to her job. She said, “Communication among students, problem-solving, and their

willingness to help each other has increased since I have integrated technology into classroom

instruction.” She also noted the impact on instruction by stating, “I feel like all of this has helped

a lot with our instruction in many of the academic areas.”

Ten questions on the survey discussed the TAM construct of perceived usefulness

multiple times. Question One provided an example by asking: Using the Internet in my

classroom can enable me to accomplish tasks more quickly. Participants rated this question with

a three or higher, which is neither agree or disagree, somewhat agree, and strongly agree.

Another question that addressed perceived usefulness was Question Six: I find the Internet useful

108

in my teaching. The overall rating for this question was 3.8, which is still closest to somewhat

agree. Linda rated this question with a five, strongly agree, while Mary, Patricia, and Margaret

had given it a four, somewhat agree. The lowest score for this question was noted by Elizabeth

with a two, somewhat disagree. The overall ratings for perceived usefulness were rated higher

than perceived ease of use, but both were rated between 3 and 4.

Data analysis indicated that teachers perceived student-supported technology professional

development to have an impact on their technology acceptance and integration. Participants still

experienced some struggles with technology; therefore, they did not find it to be completely

effortless. However, utilization continued because of the perceived benefits to student learning.

Additionally, teacher participants commented that the more they used it, the easier it became.

Intent to use technology addresses a person’s calculated goal towards actual technology

usage. Linda noted the impact student-supported professional development has had on her intent

to use technology as she foresees her technology integration to continue. The interview

discussion included the following statement:

I will always use technology when there is a feature that I can implement. I use

technology multiple times a day. During a school day, I use technology more for

classroom instruction than anything else. I have always been able to use technology, but

now I know I can use it even more. I plan to continue to implement technology,

especially into more subject areas.

This sentiment was echoed by other participants, as they pointed out that they also expected to

continue utilizing technology during classroom instruction. Intent to use was noted in Question

18, which received the overall highest rating on the survey with a rating of 4.6 (between

“somewhat agree” and “strongly agree”). Question 18 asked: I expect my use of the Internet in

109

my classroom instruction to continue in the future. Mary, Elizabeth, and Linda rated this

question with a five, strongly agree, while Patricia and Margaret had given it a four, somewhat

agree. Thus, it was deduced that all participants expect to continue accepting and integrating

technology into classroom instruction.

Additionally, all participants expressed an increase in the usefulness of technology. They

discussed increases in their perceptions, thus making technology easier to integrate into the

classroom. Moreover, all participants intended to continue utilizing technology during

instruction. While I had anticipated that the participants would find technology integration

useful, I had not expected that they would be willing to integrate without a full understanding of

the device or platform. Participants noted that they no longer felt the need to be technology

experts before utilizing technology in the classroom.

Research Question Two

Answering the question, “How will the integration of a student-supported professional

development model impact teachers’ actual use of technology in classroom instruction?”

provided an understanding of changes in technology integration. This question addressed a

person’s genuine technology usage, which is a component of the TAM. Archival data consisting

of classroom observations conducted during the 2013-14 and 2014-15 school years as part of

program evaluation, open-ended interviews, and the survey were used to answer this question.

Participants provided clear evidence to support how student-supported professional

development impacted teachers’ actual use. Linda and Elizabeth discussed that utilization

enabled them to provide immediate feedback to students. Elizabeth further explained that she

could immediately clear up misconceptions, which does not always occur during traditional

teaching methods. She explained that many of the technology applications provided her with

110

immediate feedback on student progress, understanding, and learning. Therefore, she began

utilizing technology more during her classroom instruction.

Margaret emphasized the importance of skill development, which she felt was a result of

student-supported technology professional development. She discussed how the reduction in

time consuming skills, such as logging in, led to actual use. She stated, “Some things used to

take forever. I got to the point where technology just was not worth it. This all changed after

student-support.”

James, Mary, Margaret, and Elizabeth all noted that academic rigor increased as a result

of technology usage during classroom instruction. James stated, “Without student-supported

professional development, teachers would have never observed the rigor students are capable

of.” He explained, “While watching student-supported professional development, I saw students

pointing out things to teachers and taking on the instructor role. Student-support increased rigor.

The students wanted more.” He focused on student-supported professional development as the

primary factor impacting teacher actual use. James stated, “In terms of teachers, student-

supported technology professional development has impacted their technology usage and

acceptance. A lot of teachers are willing to use it now.”

Research Question Three

As the researcher, I needed to answer: “What evidence suggests that student-supported

professional development for technology is responsible for the encouragement of teachers’

technology integration into classroom instruction?” The participant interviews produced the

richest data on the participants’ views, and thus addressed the impact of student-supported

technology professional development on their acceptance and integration of technology usage.

Evidence was provided though face-to-face open-open ended interviews, archival data consisting

111

of classroom observations conducted during the 2013-2014 and 2014-15 year as program

evaluation, and the survey.

Administrators James and Barbara discussed the lack of technology usage prior to

student-supported professional development. Specifically, James pointed out technology usage

rose from 2% to about 60% at his school as a result of student-supported professional

development. Barbara added that “the iPads™ went from just sitting in the cart—no one ever

used them—now they are in classrooms all the time.” Mary further supported this claim, as she

discussed her daily use during reading instruction as a result of student-supported professional

development. Elizabeth also began scheduling weekly technology integration.

Data analysis revealed that participants continued integrating technology during

classroom instruction. This was observed during classroom observations that were retrieved

through archival data collected during the 2013-14 and 2014-15 years as part of program

evaluation. Technology integration did not occur in the first two observations of Patricia, but the

subsequent four involved technology integration at various levels. Classroom observations

revealed that there were no devices integrated during classroom instruction in two of the

participants’ classrooms in October 2013. This number reduced to one in January 2014, and then

to zero during all other observations.

Despite the fact that the survey did not address how technology was being integrated, it

did include Question 23, which addressed: Number of years using the Internet and Number of

years using the Internet in my classroom instruction. The data concluded that participants had

used the Internet overall for an average of 8.8 years. Interviews revealed that despite Internet

usage prior to this study, there was limited integration of it occurring in the classroom. This was

supported by participants concluding that they had only used technology for an overall average

112

of 3.8 years during instruction. James also supported this during his interview by stating that

technology integration is still occurring in classrooms.

Summary

Data provided in this chapter provided insight about the impact of student-supported

technology professional development. Participants shared their experiences before and after

student-supported technology professional development. Data included participants discussing

the ways in which their teaching had changed in terms of technology integration. Student-

supported technology integration played a role in developing participants’ acceptance as it

pertained to perceived ease of use, perceived usefulness, intent to use, and actual technology

utilization.

Six observations of all teacher participants were retrieved through archival data

conducted during the 2013-14 and 2014-15 school years as part of program evaluation. All

teacher participants were subject to an interview and a survey. Both administrator participants

observed each participant at least three times and took part in an interview. James observed each

participant six times during the 2013-14 and 2014-15 school years. Each teacher participant

reported that his or her technology acceptance and integration increased as a result of student-

supported technology professional development.

Interviews and observations of Patricia and Linda concluded that technology integration

and acceptance prior to student-supported technology professional development was limited.

After receiving student-support, all participants reported that their acceptance and integration of

technology had increased. Mary, Margaret, and Elizabeth demonstrated an increase in academic

rigor during and after student-supported technology professional development. They also shifted

from teacher-led to student-led technology integration.

113

James reported that all teacher participants demonstrated drastic increases in technology

accept and integration into classroom instruction by stating:

Teachers that participated in student-supported technology professional development

have continued to integrate technology into their classroom instruction. Some have not

explored or implemented anything past the learning that occurred in student-supported

technology professional development, but there is a subset of those teachers that have

taken it further. The subset is small.

He further explained that despite technology being implemented, not all participants were

demonstrating growth in terms of technology integration. James stated:

The other teachers that did accept and integrate technology into classroom instruction are

still doing the same things they were taught and have not extended their learning or

integration past what they learned while participating in student-supported technology

professional development. Therefore, I think that acceptance or comfort level impacts

technology integration into classroom instruction.

While the data showed an increase in participants’ technology acceptance and integration,

all three research questions were answered by their perceptions and archival data consisting of

observations conducted during the 2013-14 and 2014-15 school years as part of program

evaluation. This summary included the opinions and beliefs of the participants, thus laying the

groundwork for themes that developed throughout this case study. A summary of the findings,

discussion, implications, limitations, and recommendations for future research pertaining to

technology integration in context to student-supported technology professional development is

discussed in Chapter Five.

114

CHAPTER FIVE: CONCLUSION

Overview

As stated at the beginning, this study was conducted keeping in mind the benefit that

technological integration can provide on student achievement (Machado & Chung, 2015).

Despite increasing support of researchers, there has remained a lack of technology integration

into classroom instruction over the past decade. This may be attributed to the inadequate efforts

by schools to prepare teachers to accept and use technology for such purposes (DeNisco, 2014;

Morgan, 2014; Navidad, 2013; Schnellert & Keengwe, 2012; Tamim et al., 2011). This case

study built on the existing literature regarding technology professional development by filling in

the gap on empirical research about elementary student-supported technology professional

development.

The purpose of this study was to examine teachers’ acceptance and integration of

technology in the classroom in the context of a student-supported professional development

model. There is a need for such a model, particularly at the elementary level. This study offers

an effective one for school personnel to adopt as part of their efforts to enhance the use and

acceptance of technology for classroom purposes by examining long-term development solutions

as opposed to current, short-term approaches. This chapter includes a summary of the findings

and themes that developed through data analysis. I have addressed the findings in relation to

Davis’ (1989) Technology Acceptance Model and the review of literature in Chapter Two.

Delimitations and limitations of research are noted. Furthermore, recommendations for future

research are explained.

115

Summary of Findings

Through observations retrieved from archival data conducted during the 2013-14 and

2014-15 school years as part of program evaluation, interviews and surveys, the following four

themes emerged: skill and knowledge development, lack of use prior to intervention/professional

development, successful experience with technology, and evidence of acceptance and

integration. The themes were used to answer the research questions presented in this case study.

Research Question One

How will the integration of a student-supported professional development model impact

teachers’ perceived ease of use, perceived usefulness, and intent to use technology in classroom

instruction? Participants discussed their increased ease towards technology use and integration

into classroom instruction and stated that they accepted it over time. Specifically, Mary noted

that, “I was scared of integrating technology at the beginning of professional development.”

However, she said, “After student-support, it become easy to use technology in the classroom.”

All seven participants were asked about the impacts of perceived ease of use, perceived

usefulness, and intent to use technology in classroom instruction based on a student-supported

professional development model. The five teacher participants felt that they had integrated

technology more after student-support than during previous years, and the administrator

participants echoed this sentiment. All participants also discussed an increase in rigor, time

management, and a shift from teacher-led to student-led technology opportunities. Additionally,

teacher participants said that prior to participating in professional development, they primarily

used technology in the classroom for administrative purposes.

The participants also indicated that they were less concerned after integration of student-

supported professional development about lacking knowledge about certain aspects of

116

technology. Rather, if they lacked a technology skill, then either a student would be familiar

with it or the class would figure it out as a team. All participants felt that it is imperative to

include students in technology professional development.

Despite the fact that all of the participants discussed increased levels of technology

acceptance and integration into classroom instruction after student-support, James noted after the

conclusion of professional development, “most of the teachers did not integrate technology past

the level of what was taught during professional development.” However, he added, “there is a

subset of those teachers that has taken it further. The subset is small.” In lieu of this, he further

emphasized that the level in which participants have accepted technology and integrated it into

classroom instruction had increased as a direct result of including students in technology

professional development. “Teachers are more comfortable,” he suggested, “and enjoy

technology more after receiving student-supported technology professional development.”

Research Question Two

How will the integration of a student-supported professional development model impact

teachers’ actual use of technology in classroom instruction? The integration of a student-

supported professional development model resulted in an increase in technology usage in the

classroom based on the findings. All seven participants acknowledged that before integration of

the program, use of technology was not very prevalent for the purposes of classroom instruction.

Afterwards, they acknowledged a significant increase in their use of technology in the classroom,

as well as that of their colleagues. Furthermore, it could be observed that there was an increase

in the number of observations where students and teachers were using technology in the

classroom, and a decrease in the number of observations where no technology was being used

117

over the course of the study. This indicated an increase in the use of technology in the

classroom, as well as an increase in teachers’ comfort with using technology.

Opportunities to provide immediate feedback during technology integration, skill

development, and the increase in academic rigor all impacted actual utilization. Immediate

feedback enabled participants to clear up instructional misconceptions immediately. The

importance of skill development increased actual use improving time management and user

perceptions of their ability to use technology. Additionally, an increase in academic rigor

resulted from student-supported technology professional development.

Research Question Three

What evidence suggests that student-supported professional development for technology

is responsible for encouraging teachers to integrate it into the classroom? Participants reported

that after student-supported professional development for technology, they learned better uses for

technology. Additionally, participants were able to better plan and recall how to use certain

aspects of technology through the support of the students. The teachers also reported that they

planned to expand the use of technology into additional subject areas.

Looking at the results of the study, there are several notable effects of the integration of

student-supported technology professional development. After integration, the use of technology

in the classroom was more prevalent, and in particular, it’s use for instructional as opposed to

administrative functions increased. Teachers became noticeably more comfortable with

technology over the course of the study, and students were more independent as a result of its

integration.

118

Discussion

Data evaluation revealed that participants’ technology acceptance and integration

increased as a result of student-supported technology professional development. Furthermore,

the data indicated that participants felt that academic rigor, student problem solving, and

communication increased with the integration of technology. This confirmed the review of

literature on the benefits of technology integration in classroom instruction (Morgan, 2014;

Navidad, 2013; Pamuk et al., (2013); Tamim et al., 2011). All seven participants noted the

increase in technology integration after student-support. Participants also demonstrated

acceptance by noting that they did not feel as if they needed to be technology experts prior to

integrating technology into the classroom. I will begin by discussing the findings of this case

study as they pertain to the theoretical framework. Then, I will relate conclusions to previous

research discussed in the review of literature.

TAM and Student-Supported Technology Professional Development

This study focused on the ways in which a student-supported technology professional

development model encouraged changes in acceptance and use of technology among

participants. As previously discussed, the theoretical framework that this study is based off of is

TAM, which in turn is based on the theory of TRA. TAM focuses on direct influences on

technology use, which concludes: If perceived ease of use is improved or perceived usefulness

improves, the result will be actual use of technology in the classroom. A study by Naeini and

Krishnam (2012) of Malaysian elementary students using computer games noted this connection.

In it, a significant positive correlation between perceived ease of use and usefulness, and actual

use of technology was indicated. However, this study did not focus on the use of technology by

teachers for instructional purposes.

119

Based on the results of this study, several reasons are suggested (as it relates to the

theoretical framework) for why student support and professional development translate to

increased integration of technology in the classroom. For example, one participant stated that

she accepted technology because she understood the important role that it plays in student

learning. Further, she recognized the changing norms around her as being a result of technology

professional development, which led to her change in attitude.

The findings indicate that professional development has the effect of increasing the

likelihood that teachers will accept technology in the classroom. O’Koye (2010) reached similar

conclusions by examining the effect of professional development through the use of a coach on

technology integration in the classroom. The study used a small sample size of 14 teachers, with

data collected via participant interviews and surveys, much like this study did. Participants

credited changes in technology integration in the classroom to support provided from the

technology coach. The authors concluded that teachers who worked with technology coaches

demonstrated a significant increase in feelings of efficacy towards technology use in the

classroom. Another study by Blackmon (2013) utilized survey data from middle school teachers

that were asked to rate nine professional development methods. Of all nine methods, peer

support or mentoring were perceived to be the most effective.

In addition to changing the perceived norms as they related to technology use, technology

professional development also had the effect of improving its perceived usefulness. Participants

interviewed indicated that they learned “better uses” for technology than they previously

employed. Several of them noted that they felt comfortable using technology for purposes

outside of instruction, such as administrative functions. However, after technology professional

development, they had a greater understanding and were more comfortable using it for a wider

120

variety of functions and subjects. The implication is that participants identified a greater scope

of use for technology, and as a result, were more likely to accept it. Linton et al. (2013)

concluded similar results, which led to increases in technology integration and student

achievement. However, they did not focus on support provided by students.

From the participant standpoint, student support had the effect of improving their

perceived ease of use and usefulness of technology in the classroom. Several participants noted

that technology was easier to use in the classroom with student support because teachers realized

that they did not have to know every function because the students would provide assistance if

needed.

As it relates to the use of students as mentors for technology in the classroom, some

studies have examined the use of student technology teams in schools. Brooks-Young (2006)

examined student technology teams in two middle schools to address lack of professional

technology personnel. At both schools, students were trained to handle maintenance issues with

software. The result was that at least one student in each classroom had the skills to fix or refer

out technology issues that might occur, taking some of the burden from the teachers.

Breiner (2009) conducted a study on a similar program utilized at a middle school. In

this program, some students were taught to provide technology assistance to teachers, rather than

just serve as troubleshooters. As a result, those students were able to provide first-hand

technology training to teachers.

Another study by Corso and Devine (2013) looked at the use of college students as

technology mentors at a community college. The institution integrated a student technology

mentor program, which was designed to support technology professional development as well as

the integration of technology in the classroom. The program started with five students and

121

expanded to 40. The community college identified the program as a successful tool to support

technology integration. These studies differ from this case study in the educational levels of the

students and the manner in which students were used to facilitate the integration of technology in

the classroom.

In terms of whether the student-supported technology professional development model

was successful at the elementary school level at increasing the integration of technology in

classroom instruction, there is no literature that examines this effect. The majority of relevant

research on this topic pertained to either the efficacy of a student-support model or a

professional-development model, but not both, and not at the elementary school level.

With regard to perceived usefulness, participants noted that the use of technology helped

them better manage their time, be more efficient, and increase student engagement. The

implication was that by utilizing student support for technology, teachers recognized the larger

benefit from technology to their professional objectives and became more likely to accept it

(Williams et al., 2014). Hyland and Kranzow (2012) concluded that technology integration is

more efficient and increases time management, which concurs with this study. However, Hyland

and Kranzow (2012) did not focus on students as a support system during technology

professional development. Furthermore, research conducted by Esteve et al. (2015) supported

increased student engagement results from technology access in the classroom; but unlike my

case study, it only focused only on IWB access.

To summarize, the findings indicated that student support and technology professional

development have the benefit of improving perceived ease of use and usefulness of technology

by participants. As a result, the actual use of technology was increased. This supports the

literature, which has demonstrated a correlation between perceived ease of use, usefulness, and

122

actual use. This also supports the findings of Aypay et al. (2012), who concluded that pre-

service teachers’ use of technology was highly influenced by TAM. Furthermore, Fishbein and

Azjen (1980) suggested that when people view technology as being favorable, they are more

likely to both acquire and utilize it.

Technology Integration in the Classroom

As stated earlier, teachers desiring to meet the needs of their students need to understand

and use technology in classroom instruction (Aviles & Eastman, 2012). As such, there is an

onus for an effective model of technology professional development. The literature suggests that

technology integration had a positive impact on student learning. Research had shown that the

use of technology in the classroom resulted in higher levels of student engagement and

achievement (Morgan, 2014; Navidad, 2013; Tamim et al., 2011).

One such study, conducted by Hyland and Kraznow (2012), examined the perceptions of

both teachers and students in the use of technology to develop critical thinking and self-directed

search. The results of the study indicated that both students and faculty members felt that e-

materials had a positive influence on students’ learning behavior involving critical thinking and

self-directed learning. Unlike my case study, they utilized closed- and open-ended surveys as

their primary method of data collection. Furthermore, Hyland and Kraznow focused on the use

of e-texts and e-libraries and conducted their study at a private, post-secondary institution, as

opposed to an elementary school.

Blanchard et al. (2016) conducted a study investigating ongoing technology professional

development (TDP) administered to 20 mathematics and science teachers. Data analysis resulted

in the following: participant increases in technology comfort level, higher assessment scores,

123

substantial academic gains, and an increase in graduation rate. Unlike my case study, which

focused on elementary school teachers, Blanchard et al. focused on high school teachers.

Hayden et al. (2011) conducted a similar study focusing on a structured professional

development program known as iQUEST. It concluded that student academic performance

demonstrated significant gains as a result of classroom technology integration. Different from

my study, Hayden et al. (2011) enhanced technology integration through a trained adult mentor

and focused only on science.

The above findings align with those of the current case study. Among the results,

participants reported that after integration of student-supported technology professional

development, participants were impressed by the students’ ability to work independently, solve

problems, and help each other when a technology related issue arose. Participants also noted that

the use of technology seemed to benefit students’ ability to think critically while solving

problems and be more productive. Additionally, participants discussed that students wanted to

learn more about different aspects of the technology.

Technology Professional Development

Regarding the effect of professional development on technology use, studies have found

that teachers who receive effective technology professional development are more likely to

integrate technology into the classroom. More specifically, researchers have found a positive

correlation between professional development and technology use in the classroom, indicating

that effective technology professional development is predictive of technology use (DeNisco,

2014; Ertmer et al., 2012; Badri et al., 2015). However, none of these studies have analyzed the

degree to which professional development impacts technology use; rather, they only addressed

only the perceived relationship and attitudes.

124

A study conducted by Badri et al. (2015) examined the correlation between technology

professional development and technology use in the classroom. The results showed a significant

positive correlation between the two, indicating that professional development is predictive of

technology use. The study utilized survey data from secondary teachers. Another study by

Gerard et al. (2012) suggested that classroom teachers who received professional development to

help them understand how technology enhances and relates to curriculum were more successful

at integrating it into their classrooms than were teachers who did not receive the professional

development. Similar to this case study, technology professional development led to an increase

in technology usage in the classroom; however, neither of these studies focused on student-

support during technology professional development. In this study, technology integration

primarily resulted from teacher’s perception of technology becoming effortless and good for

their job. Participants discussed technology was easier to use after student-supported

professional development. Additionally, participants also pointed out that academic rigor

increased, immediate feedback became possible, problem-solving skills increased, and

technology skills were developed.

A number of factors have been found to contribute to the lack of integration of

technology in the classroom, which professional development addresses. This includes

inadequate preparation for the teacher to use technology for classroom instruction. A study by

DeNisco (2014) found that 46% of kindergarten through 12th grade teachers stated that they

lacked the skills to use technology effectively in the classroom, despite the fact that 93% of those

surveyed reported that technology had a positive effect on student engagement. A study by

Howley et al. (2011) found that teachers felt as though they had been inadequately prepared to

provide technology opportunities for students. Another study by Asodike and Jaja (2012) in

125

Nigeria found that while most primary schools had at least one desktop computer per classroom,

the majority of teachers felt that they did not have adequate computer skills, which they

attributed to a lack of training. This indicates that although teachers recognize the benefits of

technology integration, many lack the knowledge or understanding to do so in a classroom

setting.

The findings of this study support these claims. Several teachers reported that before this

program was integrated, they were comfortable using technology on their own. However, they

were unsure how to integrate it into their teaching. After technology professional development,

they noted that they were able to use the technology in the classroom. Additionally, teachers

reported that among the major impediments to technology integration was the fact that they were

not comfortable using it with students. From a theoretical standpoint, this supported the TAM,

which suggests the connection between perceived ease of use and actual use of technology.

After being trained to use technology in the classroom with student-support, teachers perceived

that it would be useful; therefore, they choose to integrate it into classroom instruction.

Expanding on this subject, while there are past studies that have examined programs for

technology professional development, most have looked at ineffective programs in order to

understand what does work. Elements that have been noted as being effective include ongoing

professional support and technology coaching and mentoring (Duran et al., 2011; Gayton &

McEwan, 2010; Koh & Neuman, 2009; Lutrick & Szabo, 2012; Neuman & Cunningham, 2009;

O’Koye, 2010). Another component that researchers support is an understanding of technology

operation and application within professional development (Potter & Rockinson-Szapkiw, 2012).

Linton & Geddes (2013) supported this claim by noting that instructional device and software

126

training resulted in an increase in teacher confidence with regard to the use of technology in the

classroom.

Regarding the link between student support and technology use in the classroom, most

studies have examined student technology leadership at the middle school and college level, but

not at the elementary school level. Furthermore, these studies have focused on the use of

students as mentors for teachers to perform certain tasks with technology and found these

practices to be an effective method of technology integration (Breiner, 2009; Brooks-Uong,

2006; Corso & Devine, 2013).

Looking at the elementary school level specifically, there is evidence to support the

potential success of student-support during technology professional development. Past studies

have suggested that elementary school children, having grown up around technology, are more

competent in using it (Bait, 2011; McAlister, 2009). Participants reported that a primary factor

of their ability to integrate technology in the classroom was student knowledge. One participant

noted that she felt the students helped teach her because they retained different pieces of

information, and vice versa. Additionally, it was reported that student confidence with utilizing

technology was never an issue; rather, the concern was the participants’ lack of confidence.

Participants in this case study further discussed the fear they had prior to student-supported

professional development. After the intervention, participants reported that they no longer felt

they had to be technology experts. Participants noted if they lacked the skill or understanding,

then a student would provide needed guidance, thus increasing technology integration in

classroom instruction.

127

Implications

The purpose of this descriptive case study was to study teachers’ technology acceptance

and classroom integration in the context of a student-supported professional development model.

Additionally, the desire was to better understand the role of student-supported technology

professional development. All seven participants reported technology acceptance and integration

increased after student-supported technology professional development. Therefore, it is

imperative to point out the benefits of student-supported technology professional development to

classroom instruction and achievement. As a result, the following implications originated from

data collected from participants.

Implication One

This study addressed the need for an effective model for supporting the teachers’

acceptance and integration of technology in the classroom. In particular, it added to the literature

by addressing this need at the elementary school level. There is an empirical gap in research

about elementary student-supported teacher technology professional development. However,

research does support secondary and collegiate students in this capacity (Breiner, 2009; Corso &

Devine, 2013; Liu et al., 2015; Pierce, 2012).

Data collected from interviews, the survey, and archival data consisting of observations

collected yearly during the 2013-14 and 2014-15 school years as part of program evaluation

resulted in increases in participants’ technology acceptance and classroom integration after

involvement in student-supported technology professional development. Overwhelmingly, after

student-supported technology professional development, participants noted that they were more

comfortable using technology. This correlates with findings from Williams et al. (2014), which

128

indicated that technology that is perceived as being useful will be integrated into classroom

instruction.

Furthermore, findings have implications at the organizational level and could benefit

educational institutions in understanding the necessary aspects for implementing a program that

would effectively advance the use of technology in the classroom. The findings could also

provide a benefit from a policy perspective, as it helps policy makers better understand how

technology can be used to enhance educational outcomes.

For educational institutions, this study indicates the need for a student-supported

professional development model for successful integration of technology in the classroom.

Additionally, the findings demonstrated a need for a long-term model of technology professional

development with additional follow up for facilitating successful technology integration.

Finally, the findings confirm that a student-supported model can be successful at the elementary

school level. School administrators may want to include these elements into the design of any

future programs intended to increase the use of technology in classroom instruction.

From a policy perspective, the findings from this study support previous studies that

indicated technology use in the classroom can benefit learning and academic achievement.

Based on the findings, policy makers may find it beneficial to increase funding for technology

based initiatives in schools or for further study of the effect and success of such programs.

From a theoretical standpoint, findings indicate support for the TAM and TRA as

effective models of technology integration in the classroom. The results show that professional

technology development and student support benefit the ease of use and perceived usefulness of

technology for classroom instruction among teachers. The result is an increase in acceptance and

actual use of technology in the classroom. For school administrators to develop an effective

129

program for technology integration, they must consider elements that promote such perceptions

and subsequently result in the desired outcome: increased acceptance and use of technology.

Based on these findings, several aspects should be present for schools looking to

implement programs to advance the use of technology in the classroom. A long-term program of

support for teachers is important, as it allows them to gradually become more comfortable using

technology in the classroom and incrementally increase the scope of use. I highlight the

importance of technology professional development in some form to enable teachers to utilize

technology in the classroom. Additionally, a program whereby students and teachers learn

together to use technology is effective at all educational levels because it enables teachers and

students to help each other when knowledge gaps arise.

Implication Two

The second implication from this study was the need for schools to utilize students as

support for teacher technology professional development. Students have played many roles in

supporting technology, including repairs and quick fixes, training, and mentors (Brooks-Young,

2006; Breiner, 2009; Corso & Device; 2013 Peto et al., 1989; Pierce, 2012). In this study, which

featured student-supported technology professional development, participants stated that they no

longer felt the need to know and understand every aspect of technology prior to using it in the

classroom because if they did not know something, then a student would.

Members of Generation Z, which encompasses current elementary school-aged students,

are technology savvy, access digital information easily, and are able to navigate digital

environments with ease (Emanuel, 2013; Gibson & Sodeman, 2014; Hartman & McCambridge,

2011). Additionally, they accept technology shifts faster than previous generations (Bajt, 011;

Gu et al., 2013; Krier, 2008). Research conducted by McAlister (2009) confirmed that students

130

are willing to try multiple techniques using technology in order to succeed. Wikia Technology

(2013) collected data from 1,200 students and concluded that they display quick adaptive

behaviors and use technology in more advanced ways than previous generations.

Delimitations and Limitations

Delimitations in research focused on the boundaries of the study and on determining how

the study findings could possibly lack generalization (Glatthorn & Joyner, 2005). Delimitations

consist of the nature of the sample size, setting, and time frame (Glatthorn & Joyner, 2005).

Limitations are considered probable weaknesses with the study (Creswell, 2013). Creswell

identified limitations as inadequate measures, loss or lack of participants in the study, and small

sample size.

Delimitations

The delimitations for this study included the target teacher and administrator population

and the sample. The target population consists of elementary teachers who participated in

student-supported technology professional development and administrators that observed

student-supported technology professional development at least three times in either the 2013-14

and/or 2014-15 school years. This study only included elementary teachers and administrators

because there are no research studies focusing on elementary students acting in a support role for

teacher professional development at this level. Previous research involving elementary students

focuses on technology troubleshooting, but does not include them supporting technology for

professional development to raise teacher acceptance and integration into classroom instruction.

This study only focused on teacher technology acceptance and classroom integration, but not on

student perceptions or views; therefore, data was not collected from students.

131

Limitations

The limitations within this study serve as a reference for determining the extent to which

the findings can be applied to other schools (Creswell, 2013). Limitations that occurred in this

study included: population, sample size, timeframe of study, and male-to-female ratio as it

pertains to data analysis. The research population may not be representative of other

populations in other school districts. The target population for this study had access to multiple

technological devices, which eliminated access to device issues like not having a device for

each student to use. The administration in the school district where this study was conducted

supported technology integration in classroom instruction, but this may not have been the

circumstance in other public school populations.

There are certain limitations that influenced the accuracy of the results. Among the most

important considerations is the limit of the sample to a single school district in one geographical

area. It is possible that the particular school district and location may have different experiences

or cultural attitudes towards technology from the general population. That, in turn, could impact

the outcome of the integration of such a program. The use of a single institution for observation

and the lack of comparison to other institutions that utilized a different approach for technology

integration make it difficult to analyze the effectiveness of a student-supported technology

professional development model in comparison to other approaches, as well as identify specific

aspects of the program that were effective.

Another issue included the small sample size, which tends to be an issue in case studies.

The school at which this study took place had 26 teachers, of which only 15 attended student-

supported technology professional development and five agreed to participate in this study. Of

the four administrators that observed student-supported technology professional development at

132

least three times during the 2013-14 and/or 2014-15 school years, only two agreed to participate

in the study. This small sample size can make it difficult to draw conclusions that can be

attributed on a wider scale.

Additionally, the length of the study, which extended over the course of two school years,

may have caused some teachers and administrators to not want to participate. Furthermore, the

use of a single institution for observation and the lack of comparison to other institutions and

approaches made it difficult to analyze the effectiveness of a student-supported technology

professional development model. Further, it became difficult to identify specific aspects of the

program that worked best.

Finally, the male-to-female ratio, which is an aspect that cannot be controlled for, may

have impacted the results. The majority of data was gathered from females due to the location

chosen for the study. Past studies have suggested that technology behavior varies between males

and females; therefore, gender differences may affect the results and compromise the

generalizability of these conclusions to male teachers. In analyzing the results, the open-ended

nature of this case study approach has some limitations, as it means that the interpretation of the

findings is less clear cut and open to differing individual perspectives.

Recommendations for Future Research

This case study added to the literature regarding teacher acceptance and integration of

technology in the classroom by examining the subject in the context of elementary level

education and a student-supported professional development model. However, the application of

the findings of this study is limited by the small sample size and specific population evaluated,

from both an age and geographical standpoint.

133

To deal with the limitations discussed above, there are some measures that may be taken

in future examinations of this subject. Future studies should attempt to utilize a larger sample

size in order to broaden the generalizability of the findings. This may be done by utilizing a

multi-case case study, which would allow for data to encompass a wider scope of participants,

rather than limiting the observations to a single school. This would also allow for change over

time to be evaluated more effectively, as a greater number of individuals would likely remain in

the study given the ease of responding.

It may also be beneficial to explore this subject using a quantitative approach instead of a

qualitative one. Using a quantitative approach, one could explore the change in the amount of

class time spent using technology or the number of subjects taught with technology being the

primary tool for instruction. Future studies may also look more closely at how elements of

teachers’ backgrounds (i.e., experience or subject taught) impact the integration of technology in

the classroom. This might mitigate, to a certain extent, issues of gender ratio by singling out

specific teacher qualities. These strategies may make the results generalizable on a wider scale

and more conclusive.

With regard to how the topic pertains to the effectiveness of a student-supported

technology professional development model, future studies might evaluate the impact of such a

model for other age groups, such as middle school, high school, or college level. It might also be

beneficial to explore aspects of similar models at different schools, both public and private, to

identify the effectiveness of individual parts of the model. In addition to exploring the

effectiveness of a student-supported model on the integration of technology in the classroom, it

may also be interesting to examine how this model impacts students’ academic performance,

which can be examined using questionnaires.

134

Summary

This descriptive case study was conducted for the purpose of examining teachers’

acceptance and integration of technology in the classroom in the context of a student-supported

professional development model, particularly at the elementary school level. The expectation

based on the theoretical framework was that a student-supported professional development

model would improve the teachers’ ease of use and increase the acceptance and actual use of

technology in the classroom. Based on the literature relating to the subject matter, the

expectation was that a professional development model, particularly one relating to student-

support, would advance the acceptance and integration of technology in the classroom.

The finding of the study indicated that teachers were more likely to utilize technology in

the classroom for the purposes of instruction after the integration of a student-supported

technology professional development program. Furthermore, lining up with the theoretical

framework, it seemed that this outcome was due to improved recognition among teachers

regarding the perceived ease of use of technology. This chapter included a discussion of findings

and implications, as well as suggestions for future research.

The findings of this study, combined with that of the literature, highlight the benefits and

importance of student-support during professional development on the acceptance and ability of

teachers to integrate technology in the classroom. The review of literature discussed success

with the implication of students as mentors and professional development instructors, but

research did not focus on elementary students taking on these roles. The significant difference

from previous research and this study is the use of elementary student-support during technology

professional development.

135

Participants documented that technology integration into classroom instruction was

important; however, the majority of them noted limited use prior to student-supported

technology professional development. After student-support, all participants discussed their

increase in not only technology integration in the classroom, but also acceptance of it.

Additionally, data revealed that all participants have continued to use technology in the

classroom. The findings from this study have the potential to provide an additional technology

professional development model.

136

REFERENCES

Abbitt, J. T. (2011). An investigation of the relationship between self-efficacy beliefs about

technology integration and technological pedagogical content knowledge among

preservice teachers. Journal of Digital Learning in Teacher Education, 27(4), 184-143.

doi: 10.1080/21532974.2011.10784670

Agarwal, R., & Karahanna, E. (2000). Time flies when you are having fun: Cognitive absorption

and beliefs about information technology usage. MIS Quarterly, 24, 665-694. doi:

10.2307/3250951

Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior.

Englewood Cliffs, NJ: Prentice-Hall.

Ajzen, I., & Fishbein, M. (2000). Attitudes and the attitude-behavior relation; reasoned and

automatic processes. W. Stroebe & M. Hewstone (Eds.), European Review of Social

Psychology, 1-33. New York, NY: John Wiley & Sons.

Akengin, H. (2008). Opinions of prospective social studies on the use of information

technologies in teaching geographical subjects. Journal of Instructional Psychology,

35(2), 126-139. Retrieved from

http://www.projectinnovation.biz/journal_of_instructional_psychology

Al Bataineh, M. (2014). Jordan social studies teachers’ perceptions of competency needed for

implementing technology in the classroom. Contemporary Educational Technology, 6(1),

38-61. doi: 10.1.669.3109

137

Al-Adwan, A., Al-Adwan, A., & Smedley, J. (2013). Exploring student acceptance of e-learning

using technology acceptance model in Jordanian universities. International Journal of

Education and Development using Information and Communication Technology, 9(2), 4-

18. Retrieved from http://ijedict.dec.uwi.edu

Alharbi, S., & Drew, S. (2014). Using the technology acceptance model in understanding

academics’ behavioral intention to use learning management systems. International

Journal of Advanced Computer Science and Applications, 5(1), 143-155. doi:

10.14569/IJACSA.2014.050120

Amin, M., Rezaei, S., & Abolghasemi, M. (2014). User satisfaction with mobile websites: The

impact of perceived usefulness, perceived ease of use, and trust. Nankai Business Review

International, 5(3), 258-274. doi: http://dx.doi.org/10.1108/NBRI-01-2014-0005

Angrosino, M. V. (2007). Doing ethnographic and observational research. Thousand Oaks, CA:

Sage Publishing.

Ary, D., Jacobs, L. C., Sorensen, C. K., & Walker, D. (2012). Introduction to research in

education (9th ed.). Belmont, CA: Wadsworth, Cengage Learning.

Asodike, J. J., & Jaja, A. S. (2012). Information communication technology (ICT) facilities

availability and usage in Rivers State public and private primary schools. International

Journal of Asian Social Science, 2(6), 918-928. Retrieved from

http://www.aessweb.com/journals/5007

Auerbach, C., & Silverstein, L. B. (2003). Qualitative data: An introduction to coding and

analysis (Qualitative studies in psychology). New York, NY: NYU Press.

138

Aviles, M., & Eastman, J. K. (2012). Utilizing technology effectively to improve Millennials’

education performance: An exploratory look at business students’ perceptions. Journal of

International Education in Business, 5(2), 96-113. Retrieved from

http://www.emeraldinsight.com/journal/jieb

Aypay, A., Celik, H. C., Aypay, A., & Sever, M. (2012). Technology acceptance in education: A

case study of pre-service teachers in Turkey. The Turkish Online Journal of Education

Technology, 11(4), 264-277. Retrieved from http://www.tojet.net

Badri, M., Mousavi, T., Pour, M.R., Geravand, I., & Yenganeh, A. K. (2015). Examine the

relationship between use of the ICT and professional development of secondary school

teachers in Tabiz. Indian Journal of Science & Technology, 8(12), 1-5. Retrieved from

http://www.indjst.org

Bagozzi, R., Davis, F., & Warshaw, P. (1992). Development and test of a theory of technology

and usage. Human Relations, 45(7), 659-686. doi: 10.1177/001872679204500702

Bajt, S. K. (2011). Web 2.0 technologies: Applications for community colleges. New Directions

for Community Colleges, 2011,154, 53-62. doi:10.1002/cc.446

Barratt, M. J., Ferris, J. A., & Lenton, S. (2014). Hidden populations, online purposive sampling,

and external validity: Taking off the blindfold. Field Methods. Epub 2014 Apr 14. doi:

10.1177/1525822X4526838

Bernard, H. (2002). Research methods in anthropology (3rd ed.). Walnut Creek, CA: AltaMira

Press.

Bennett, R. (2010). The role of technology in the mentoring and coaching of teachers. BECTA, 1-

60. Retrieved from http://www.nationalarchives.gov.uk/doc/open-government-

licence/version/3

139

Bingimals, K. A. (2009). Barriers to the successful integration of ICT in teaching and learning

environments: A review of the literature. Journal of Mathematics, Science and

Technology Education, 5(3), 235-245. Retrieved from http://www.ejmste.com

Blackmon, L. (2013). Teachers’ perceptions of professional development activities, which result

in successful integration of classroom instructional technologies (Doctoral dissertation.)

Retrieved from http://digitalcommons.georgiasouthern.edu

Blackwell, C. K., Lauricella, A. R., Wartella, E., Robb, M., & Schomburg, R. (2013). Adoption

and use of technology in early education: The interplay of extrinsic barriers and teacher

attitudes. Computer & Education, 69, 310-319. doi: 10.1016/jcompedu.2013.07.024

Blanchard, M., LePrevost, C. E., Tolin, A. D., & Guiterrez, K. S. (2016). Investigating

technology-enhanced teacher professional development in rural, high-poverty middle

schools. Sage Journals, 45(3), 207-220. doi: 10.3102/0013189X16644602

Borthwick, A., & Pierson, M. (2008). Transforming classroom practice: Professional

development strategies in educational technology. Washington D.C.: International

Society for Technology in Education.

Breiner, B. (2009). Creating tech wizards: Tech savvy students help teachers transform practice.

Learning and Leading with Technology, 36(7), 24. Retrieved from http://www.iste.org

Brinkmann, S. (2012). Qualitative inquiry in everyday life: Working with everyday life materials.

Aalborg University, Denmark: Sage Publication Ltd.

Brooks-Young, S. (2006). Student tech support: Tapping an underutilized resource. Today’s

Catholic Teacher, 40(1), 16-20. Retrieved from http://www.catholicteacher.com

Cain, T. (2009). Mentoring trainee teachers: How can mentors use research? Mentoring &

Tutoring: Partnership in Learning, 17(1), 53-66. doi: 10.1080/13611260802233498

140

Chacko, P., Appelbaum, S., Kim, H., Zhao, J., & Montclare, J. K. (2015). Integrating

technology in STEM Education. Journal of Technology and Science Education, 5(1),

5-14. doi: 10.3926/jotse.124

Chaffin. A., & Harlowe, S. (2005). Cognitive learning applied to older adult learners and

technology. Educational Gerontology, 31, 301-329. doi: 10.1080/03601270590916803

Charmaz, K. (2014). Constructing grounded theory: Introducing qualitative methods series, (2nd

ed.). Thousand Oaks, CA: Sage.

Chen, Q., Chen, H., & Kazman, R. (2007). Investigating antecedents of technology acceptance of

initial eCRM users beyond Generation X and the role of self-construal. Electronic

Commerce Research, 7(3), 315-339. doi: 10.1007/s10660-007-9009-2

Chien, H. M., Kao, C. P., Yeh, I. J., & Lin, K. Y. (2012). Examining the relationship between

teachers’ attitudes and motivation toward web-based professional development a

structural equation modeling approach. The Turkish Online Journal of Educational

Technology, 11(2), 120-127. Retrieved from http://www.tojet.net

Chien, S. P., Wu, H. K., & Hsu, Y. S. (2014). An investigation of teachers’ beliefs and their use

of technology-based assessments. Computers in Human Behavior, 31, 198-210. doi:

10.1016/j.cnh.2013.10.037

Chuang, H. H., Thompson, A., & Schmidt, D. (2003). Faculty technology mentoring

programs: Major trends in the literature. Journal of Computing in Teacher Education,

19(4), 101-106. doi: 10.1080/10402454.2003.10784472

Cooper, D., & Morgan, W. (2008). Case study research in accounting. Accounting Horizons,

22(2), 159-178. doi: http:dx.org/10.2308/acch.2008.22.2.159

141

Corso, J., & Devine, J. (2013). Student technology mentors: A community college success story.

The Community College Enterprise, 19(2), 9-21. Retrieved from

http://www.schoolcraft.edu/a-z-index/community-college-enterprise#.VvHl1TYrI_U

Creswell, J. W. (2008). Educational research: Planning, conducting, and evaluating quantitative

and qualitative research (3rd ed.). Upper Saddle River, NJ: Pearson Education Inc.

Creswell, J. W. (2013). Qualitative inquiry & research design (3rd ed.). Thousand Oaks, CA:

Sage Publishing.

Darling-Hammond, L., Wei, R. C., Andree, A., Richardson, N., & Orphanos, S. (2009).

Professional learning in the learning profession: A status report on teacher development

in the United States and abroad. Stanford, CA: National Staff Development Council and

the School Redesign Network at Stanford University.

Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information

technology. MIS Quarterly, 13(3), 319-340. doi: 10.2307/249008

Davis, F. (1993). User acceptance of information technology: System characteristics, user

perceptions, and behavioral impacts. International Man-Machine Studies, 38, 475-487.

doi: 10.1006/imms.1993.1022

Davis, F.D., Bagozzi, R. P., & Warsaw, P. R. (1989). User acceptance of computer technology:

A comparison of two theoretical models. Management Science, 35(8), 982-1002. doi:

10.1287/mnsc.35.8.982

de Grove, F., Bourgonjon, J., & Van Looy, J. (2012). Digital games in the classroom? A

contextual approach to teachers’ adoption intention of digital games in formal education.

Computers in Human Behavior, 28(6), 2023-2033. doi: 10.1016/j.chb.2012.05.021

142

De Lima, J. (2007). Teachers’ professional development in departmentalized, loosely

coupled organizations: Lessons for school improvement from a case study of two

curriculum departments. School Effectiveness & School Improvement, 18(3), 237-301.

Retrieved from http://www.tandfonline.com/toc/nses20/current

Dede, C., Ketelhut, D. J., Whitehouse, P., Breit, L., & McCloskey, E. (2009). A research

agenda for online teacher professional development. Journal of Teacher Education,

60(1), 8-19. doi: 10.1177/0022487108327554

Delen, E., & Bulut, O. (2011). The relationship between students’ exposure to technology and

their achievement in science and math. The Turkish Online Journal of Educational

Technology, 10(3), 311-318. Retrieved from http://www.tojet.net

DeNisco, A. (2014). Creating tech-savvier teachers. District Administration, 1,74. Retrieved

from http://www.districtadministration.com

Desimone, L. M. (2009). Improving impact studies on teachers’ professional development:

Towards better conceptualizations and measures. Educational Research, 38(8), 181-199.

doi: 10.3102/0013189X08331140

Dietrich, T., & Balli, S. J. (2014). Digital natives: fifth-grade students’ authentic and ritualistic

engagement with technology. International Journal of Instruction, 7(2), 21-34. Retrieved

from http://files.eric.ed.gov/fulltext/EJ1085266.pdf

Dilts, R. (2004). From coach to awakener. Capitola, CA: Meta Publications.

Dupont, S. (2015). Move over Millennials, here comes Generation Z: Understanding the “New

realists” who are building the future. Public Relations Society of America 1, 1-2.

Retrieved from https://www.prsa.org

143

Duran, M., Brunvand, S., Ellsworth, J., & Sendag, S. (2012). Impact of research-based

professional development. Journal of Research on Technology in Education, 44(4), 313-

334. doi: 10.1080/15391523.2012.10782593

Emanuel, J. E. (2013). Digital native librarians, technology skills, and their relationship with

technology. Information Technology & Libraries, 32(2), 20-33. Retrieved from

https://ejournals.bc.edu

Emory, W. (1985). Business research methods, (3rd ed.). The Irwin series in information

and decision sciences. Boston, MA: Longman Higher education.

Englander, M. (2012). The interview: Data collection in descriptive phenomenological human

scientific research. Journal of Phenomenological Psychology, 43(1), 13-35.

doi:10.1163/156916212X632943

Ertmer, P. A., Ottenbreit-Leftwich, A. T., Sadik, O., Sendurur, E., & Sendurur, O. (2012).

Teacher beliefs and technology integration practices: A critical relationship. Computers

and Education, 59(2), 423-435. doi: 10.1016/j.compedu.2012.02.001

Esteves, R. F., Fiscarelli, S. H., & Bizelli, J. L. (2015). The interactive whiteboard in primary

education: A case study of a Brazilian district school. International Journal of Education

and Research, 3(5), 253-266. Retrieved from http://www.ijern.com

Evanciew, C. E. P., & Rojewski, J. W. (1999). Skill and knowledge acquisition in the workplace:

A case study of mentor-apprentice relationship in youth apprenticeship programs.

Journal of Industrial Teacher Education, 36(2), 24-54. Retrieved from

https://scholar.lib.vt.edu/ejournals/JITE

144

Farber, N. K. (2006). Conducting qualitative research: A practical guide for school counselors.

Professional School Counseling, 95(5), 367-375. Retrieved from

https://www.schoolcounselor.org/school-counselors-members/publications/professional-

school-counseling-journal

Feagin, J., Orum, A., & Sjoberg, G. (1991). A case for case study. Chapel Hill, NC:

University of North Carolina Press.

Foster, P. N., & Wright, M. D. (2001). Unique benefits of technology education to children.

Journal of Industrial Teacher Education, 38(2), 40-64. Retrieved from

https://scholar.lib.vt.edu/ejournals/JITE

Foughty, Z., & Keller, J. (2011). Implementing digital math curricula. Principal Leadership,

11(5), 64-66. Retrieved from https://www.nassp.org

Fusilier, M., & Durlabhji, S. (2005). An exploration of student Internet use in India: The

technology acceptance model and the theory of planned behavior. Campus Wide

Information Systems, 22, 233-246. doi: 10.1108/10650740510617539

Gall, M. D., Gall, J. P., & Borg, W. A. (2007). Educational research: An introduction (8th ed.).

Boston, MA: Pearson/Allyn & Bacon.

Gayton, J., & McEwan, B. C. (2010). Instructional technology professional development

evaluation: Developing high quality model. Delta Pi Epsilon Journal, 52(2), 77-94.

Retrieved from http://www.dpe.org

Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An

integrated model. MIS Quarterly, 27, 51-90. Retrieved from http://www.misq.org

145

Gefen, D., & Straub, D. W. (1997). Gender differences in the perception and use of e-mail:

An extension to the technology acceptance model. MIS Quarterly, 21(1), 389-400.

Retrieved from http://www.misq.org

Gerard, L. F., Varma, K., Corliss, S., & Linn, M. C. (2011). Professional development for

technology – Enhanced inquiry science. Review of Educational Research, 81(3), 408-448.

doi: 10.3102/0034654311415121

Gibson, L. A., & Sodeman, W. A. (2014). Millennials and technology: Addressing the

communication gap in education and practice. Organization Development Journal, 32(4),

63-75. Retrieved from http://www.emeraldinsight.com/journal/lodj

Glatthorn, A. A., & Joyner, R. L. (2005). Writing the winning thesis or dissertation: A step-by-

step guide (2nd ed.). Thousand Oaks, CA: Corwin Press.

Glesne, C., & Peshkin, A. (1992). Becoming qualitative researchers: An introduction. White

Plains, NY: Longman.

Goo, M., Watt, S., Park, Y., & Hosp, J. (2012). A guide to choosing web-based curriculum-based

measurements for the classroom. Teaching Exceptional Children, 45(2), 34-40. Retrieved

from http://tcx.sagepub.com

Gray, L., Thomas, N., & Lewis, L. (2010). Teachers’ use of educational technology in U.S.

public schools: 2009 (NCES 2010-040). Washington, DC: National Center for Education

Statistics, Institute of Education Sciences, U.S. Department of Education.

Greer, R., & Sweeney, T. A. (2012). Students’ voices about learning with technology. Journal of

Social Sciences, 8(2), 294-303. Retrieved from

http://thescipub.com/PDF/jssp.2012.294.303.pdf

146

Gregory, S., Scutter, S., Jacka, L., McDonald, M., Farley, H., & Newman, C. (2015). Barriers

and enablers to the use of virtual worlds in higher education: An explanation of educator

perceptions, attitudes and experiences. Educational Technology & Society, 18(1), 3-12.

Retrieved from http://www.jstor.org

Gu, X., Zhu, Y., & Guo, X. (2013). Meeting the “digital natives”: Understanding the acceptance

of technology in classrooms. Educational Technology & Society, 16(1), 392. Retrieved

from http://www.jstor.org

Guba, E., & Lincoln, Y. (1989). Fourth generation evaluation. London: Sage Publications.

Guskey, T. R. (2000). Evaluating professional development. Thousand Oaks, CA: Corwin Press.

Hartman, J., & McCambridge, J. (2011). Optimizing Millennials’ communication styles.

Business Communication Quarterly, 74, 22-44. doi: 10.1177/1080569910395564

Hayden, K., Ouyang, Y., Olszewski, B., & Bielefeldt, T. (2011). Increasing student interest and

attitudes in STEM: Professional development and activities to engage and inspire

learners. Contemporary Issues in Technology and Teacher Education, 11(1), 47-69.

Retrieved from http://www.citejournal.org

Henderson, K. A. (2011). Post-positivism and the pragmatics of leisure research. Leisure

Sciences, 33(4), 341-346. doi: 10.1080/01490400.2011.583166

Hobson, A. (2003). Mentoring and coaching for new leaders: Full report. Nottingham: NCSL.

Holden, H., & Rada, R. (2011). Understanding the influence of perceived usability and

Technology self-efficacy on teachers’ technology acceptance. Journal of Research on

Technology in Education, 43(4), 343-367. doi: 10.1080/15391523.2011.10782576

147

Holzinger, A., Searle, G., & Wernbacher, M. (2011). The effect of previous exposure to

technology on acceptance and its importance in usability and accessibility engineering.

Universal Access in the Information Society, 10, 245-260. doi: 10.1007/s1029-010-0212

Howley, A., Wood, L., & Hough, B. (2011). Rural elementary school teachers, technology

integration. Journal of Research in Rural Education, 26(9), 1-13. Retrieved from

http://jrre.psu.edu/

Hu, P. J., Clark, T. H. K., & Ma, W. (2003). Examining technology acceptance by school

teachers: A longitudinal study. Information & Management, 41(2), 227-241. doi:

10.1016/S0378-7206(03)00050-8

Huang, R., & Yang, J. (2014). The framework and method for understanding the new generation

of learners. In Huang, R., Kinshuk, Chen, N. S. The new development of technology

enhanced learning (pp. 3-25). Springer Berlin Heidelberg.

Hutchison, A. (2012). Literacy teachers’ perceptions of professional development that increases

integration of technology into literacy instruction. Technology, Pedagogy and Education,

21(1), 37-56. doi: 10/1080/1475939X.2012.659894

Hyland, N., & Kranzow, J. (2012). Innovative conference curriculum: Maximizing learning and

professionalism. International Journal for Scholarship of Teaching and Learning, 6(2),

1-15. doi: http://dx.doi.org/10.20429/ijsotl.2012.060214

Inan, F. A., & Lowther, D. L. (2010). Laptops in the k-12 classroom: Exploring factors

impacting instructional use. Computers & Education, 53(3), 937-944. doi:

10.1016/j.compedu.2010.04,004

148

Jiang, J. J., Hsu, G., Klein, G., & Lin, B. (2000). E-commerce user behavior model: An

empirical study. Human Systems Management, 19, 87-114. Retrieved from

http://www.iospress.nl/journal/human-systems-management

Juhary, J. (2014). Perceived usefulness and ease of use of the learning management system as a

learning tool. International Education Studies, 7(8), 23-24. doi: 10.5539/ies.v7n8p23

Kanchanatanee, K., Suwanno, N., & Jarenvongrayab, A. (2014). Effects of attitude toward using,

perceived usefulness, perceived ease of use, and perceived compatibility on intention to

use e-marketing. Journal of Management Research, 6(3), 1-13. doi:

http://dx.doi.org/10.5296/jmr.v6i3.5573

Kesson, K. R., & Henderson, J. G. (2010). Reconceptualizing professional development for

curriculum leadership: Inspired by John Dewey and informed by Alain Badiou.

Educational Philosophy Theory, 42(2), 213-229. doi: 10.5539/ies.v8n8p21

Kiraz, E., & Qzdemir, D. (2006). The relationship between education ideologies and

technology in pre-service teachers. Educational Technology and Society, 9(2), 153-165.

doi: 10.1.1.109.6185

Kipsoi, E. J., Chang’ach, J. K., & Sang, H. (2012). Challenges facing adoption of information

communication technology (IST) in educational management in schools in Kenya.

Journal of Sociological Research, 3(1), 18-28. doi: 10.5296/jsr.v3i1

Klopping, I. M., & McKinney, E. (2004). Expanding the technology acceptance model and task-

technology fit model to consumer e-commerce. Information Technology, Learning, and

Performance Journal, 22, 35-48. Retrieved from https://aisnet.org

149

Knight, C. L. (2012). Roadblocks to integrating technology into classroom instruction (Doctoral

dissertation). Available from ProQuest Dissertations & Theses Full Text;

ProQuestDisertations & Theses Global. (Order No. 3514684).

Koh, S., & Neuman, S. B. (2009). The impact of professional development in integrating

technology into teaching and learning: Knowns, unknowns, and ways to pursue better

questions and answers. Review of Educational Research, 77(4), 575-614. Retrieved from

http://rer.sagepub.com

Krier, L. (2008). Students as technology leaders. Bulletin of the American Society for

Information Science and Technology, 35(2), 47-48. doi: 10.1002/bult.2008.1720350211

Kusano, K., Frederiksen, S., Jones, L., Kobayashi, M., Mukoyama, Y., Yamagishi, T.,

…Ishizuka, H. (2013). The effects of ICT environment on teachers’ attitudes and

technology integration in Japan and the U.S. Journal of Information Technology

Education: Innovations in Practice, 12, 29-43. Retrieved from

http://www.informingscience.org/Journals/JITEIIP

Lau, W. W. F., & Yuen, A. H. K. (2013). Educational technology training workshops for

mathematics teachers: An exploration of perception changes. Australasian Journal of

Educational Technology, 29(4), 595-611. doi: http://dx.doi.org/10.1234/ajet.v29i4.335

Lawless, K. A., & Pellegrino, J. W. (2007). Professional development in integrating technology

into teaching and learning: Knowns, unknowns, and ways to pursue better questions and

answers. Review of Educational Research, 77(4), 575-615. doi:

10.3102/0034654307309921

150

Lederer, A., Maupin, D., Sena, M., & Zhuang, Y. (2000). The technology acceptance model and

the World Wide Web. Decision Support Systems, 29(3), 269-282. doi: 10.1016/SO167-

9236(00)00076-2

Lee, D., Woo, J., & Mackenzie, A. E. (2002). The cultural context of adjusting to nursing home

life: Chinese elders’ perspectives. The Gerontologist, 42(5), 667-675. doi:

10.1093/geront/42.5.667

Lee, Y. H., Hsieh, Y. C., & Hsu, C. N. (2011). Adding innovation diffusion theory to the

technology acceptance model: Supporting employees’ intentions to use e-learning

systems. Educational Technology & Society, 14(4), 124-137. Retrieved from

http://www.ifets.info

Li, B., & Chan, S. (2007). Coaching as a means for enhancing English-language teachers’

professional development: A case study. Journal of In-Service Education, 33(3), 341-

358. doi: 10.1080/13674580701486952

Li, Y. L. (2015). The culture of teacher leadership: A survey of teachers’ views in Hong Kong

early childhood settings. Early Childhood Education Journal, 43(5), 435-445. doi:

10.1007/s10643-014-0674-1

Lin, C. (2013). Exploring relationships between technology acceptance model and usability test.

Information Technology Management, 14(3), 243-255. doi: 10.1007/s10799-013-0162-0

Lincoln, Y., & Guba, E. (1985). Naturalistic inquiry. Newbury Park, CA: Sage Publications.

Linton, J., & Geddes, C. (2013). Growing technology leaders: Learn how a small, underserved

school district built capacity through collaboration, teacher-led professional development.

Learning & Leading with Technology, 41(1), 12. Retrieved from

http://www.iste.org.ezproxy.liberty.edu:2048/learn/publications/learning-leading

151

Liu, S. H., Tsai, H. C., & Huang, Y. T. (2015). Collaborative professional development of

mentor teachers and pre-service teachers in relationship to technology integration.

Educational Technology & Society, 18(3), 161-172. Retrieved from Retrieved from

http://ezproxy.liberty.edu:2048/login?url=http://search.proquest.com/docview/170777340

6?accountid=12085

Lutrick, E., & Szabo, S. (2012). Instructional leaders’ beliefs about effective professional

development. Delta Kappa Gamma Bulletin, 78(3), 6-12. Retrieved from

http://www.dkg.org

Ma, Q., & Liu, L. (2005). The role of Internet self-efficacy in the acceptance of web-based

electronic medical records. Journal of Organizational and End User Computing, 17(1),

38-57. doi: 10.4018/joeuc.2005010103

Machado, L. J., & Chung, C. (2015). Integrating technology: The principal’s role and effect.

International Education Studies, 8(5), 43-53. doi: http://dx.doi.org/10.5539/ies.v8n5p43

Mahmood, M. A., Hall, L., & Swanberg, D. L. (2001). Factors affecting information technology

usage: A meta-analysis of the empirical literature. Journal of Organizational Computing

& Electronic Commerce, 11(2), 107-130. doi: 10.1207/S15327744JOCE1102_02

Martin, R. G. (2012). Factors affecting the usefulness of social networking in e-learning at

German University of Technology in Oman. International Journal of e-Education,

e-Business, e-Management and e-Learning, 2(6), 498-502. doi:

10.7763/IJEEEE.2012.V2.171

Matherson, L. H., Wilson, E. K., & Wright, V. H. (2014). Need TPACK? Embrace sustained

professional development. Delta Kappa Gamma Bulletin, 81(1), 45-52. Retrieved from

http://www.dkg.org

152

Matulich, E., Papp, R., & Haytko, D. L. (2008). Continuous improvement through teaching

innovations: A requirement for today’s learners. Marketing Education Review, 18(1), 1-7.

doi: 10.1080/10528008.2008.11489017

McAlister, A. (2009). Teaching the Millennial generation. American Music Teacher,

59(1), 13-15. Retrieved from http://www.mtna.org

McLeod, S., & Richardson, J. W. (2013). Supporting effective technology integration and

implementation. In M. Militello and J. I. Friend (Eds.), Principal 2.0: Technology and

educational leadership. Charlotte, NC: Information Age Publishing.

Megginson, D., & Clutterbuck, D. (2005). Techniques for coaching and mentoring. London/

Burlington, MA: Butterworth-Heinemann.

Merriam, S. (2002). Qualitative research in practice: Examples for discussion and

analysis. San Francisco, CA: Jossey-Bass.

Merriam, S. (2009). Qualitative research: A guide to design and implementation. San Francisco:

CA: Jossey-Bass.

Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis: An expanded sourcebook

(2nd edition). Thousand Oaks, CA: Sage.

Miller, R. (2002). Teacher professional development needs in science, mathematics, and

technology in eastern North Carolina. Retrieved from http://eric.ed.gov/?id=ED473247

Moon, J.-W., & Kim, Y.-G. (2001). Extending the TAM for a World-Wide-Web context.

Information & Management, 38(4), 217-230. doi: 10.1016/S0378-7206(00)00061-6

More, C. M., & Hart, J. E. (2013). Maximizing the use of electronic individualized education

program software. Teaching Exceptional Children, 45(6), 24-29. doi:

10.1177/004005991304500603

153

Morgan, H. (2014). Focus on technology: Flip your classroom to increase academic

achievement. Childhood Education, 90(3), 239-241. doi: 10.1080/00094056.2014.912076

Moses, P., Wong, S. L., Baker, K. A., & Mahmud, R. (2013). Perceived usefulness and

perceived ease of use: Antecedents of attitude towards laptop use among science and

mathematics teachers in Malaysia. Asia-Pacific Educational Resources, 22(3), 93- 299.

doi: 10.1007/s402999-012-0054-9

Muis, K. R., Ranellucci, J., Trevors, G., & Duffy, M. C. (2015). The effects of technology-

mediated immediate feedback on kindergarten students’ attitudes, emotions, engagement

and learning outcomes during literacy skills development. Learning and Instruction,

38(1), 1-13. doi: 10.10156j.learninstruc.2015.02.001

Mundy, M., Kupczynski, L., & Kee, R. (2012). Teacher’s perceptions of technology use in

schools. Sage Open 2012(2). doi:10.1177/2158244012440813

Naeini, F. H., & Krishnam, B. (2012). Usage pattern, perceived usefulness and ease of use of

computer games among Malaysian elementary school students. Research Journal of

Applied Sciences, Engineering and Technology, 4(23), 5285-5297. Retrieved from

http://maxwellsci.com

Nasser Al-Suqri, M. (2014). Perceived usefulness, perceived ease-of-use and faculty acceptance

of electronic books: An empirical investigation of Sultan Qaboos University, Oman.

Library Review, 63, 4-5. doi: http://dx.doi.org/10.1108/LR-05-2013-0062

Navidad, F. (2014). Students’ devised classroom games-simulations: An innovative tool on

mathematics achievement and motivation in nursing student. International Proceedings

of Economics Development and Research, 60, 14. doi: 10.7763/IPEDR.2013.V60.4

154

Ndongfack, M. N. (2015). Mastery of active shared learning processes for techno-pedagogy

(MASLEPT): A model for teaching professional development on technology integration.

Creative Education, 6(1), 32-45. doi: 10.4236/ce.2015.61003

Neuman, S. B., & Cunningham, L. (2009). The impact of professional development and

coaching on early language and literacy instructional practices. American Educational

Research Journal, 46(2), 532-566. doi: 10.3102/0002831208328088

Nicholas, D. B., Lach, L., King, G., Scott, M., Boydell, K., Sawatzky, B., Reisman, J.,

Schippel, E., & Young, N. L. (2010). Contrasting Internet and face-to-face focus groups

for children with chronic health conditions: Outcomes and participant experiences.

International Journal of Qualitative Methods, 9(1), 105-121. doi:

10.1177/1049732314523840

O’Koye, A. (2010). A study of technology coaching and teachers’ sense of computer efficacy as

predictors of technology implementation (Doctoral dissertation). Regent University, VA.

Retrieved from http://dl.acm.org/citation.cfm?id=1970917

O’Neil, J. (1998). Rhetorical, science, and philosophy. Philosophy of the Social Sciences, 28(2),

205-225. doi: 10.1177/0048319800202

Ottenbreit-Leftwich, A. T., Glazewski, K. D., Newby, T. J., & Ertmer, P. A. (2010). Teacher

value beliefs associated with using technology: Addressing professional and student

needs. Computers & Education, 55(3), 1321-1335. doi: 10.1016/jcompedu.2010.06.002

Ozel, S., Ozel, Z. E. Y., & Cifuentes, L. D. (2014). Effectiveness of an online manipulative tool

and students’ technology acceptances. International Journal of Educational Studies in

Mathematics, 1(1), 1-15. doi: 10.17278/ijesium.2014.01.001

155

Pamuk, S., Çakır, R., Ergun, M., Yilmaz, H. B., & Ayas, C. (2013). The use of tablet PC and

interactive board from the perspectives of teachers and students: Evaluation of the

FATIH project. Educational Sciences: Theory and Practice, 13(3), 1815-1822. doi:

10.12738/estp.2013.3.1734

Park, E., & del Pobil, A. (2013a). Modeling the user acceptance of long-term evolution

services. Annual Telecommunication, 68(5), 307-315. doi: 10.1007/s12243-012-0324-9

Park, E., & del Pobil, A. (2013b). Technology acceptance model for the use of tablet PCs.

Wireless Personal Communications, 73(4), 1561-1572. doi: 10.1007/s11277-013-1266-x

Park, N., Rhoads, M., Hou, J., & Lee, K. M. (2014). Understanding the acceptance of

teleconferencing systems among employees: An extension of the technology acceptance

model. Computers in Human Behavior, 39, 118-127. doi: 10.1016/j.chb.2014.05.048

Pask, R., & Joy, B. (2007). Mentoring-coaching: A handbook for education professionals.

Maidenhead, Berkshire, England: McGraw-Hill/Open University Press.

Persico, D., Manca, S., & Pozzi, F. (2014). Adapting the technology acceptance model to

evaluate the innovative potential of e-learning systems. Computers in Human Behavior,

30, 614-622. doi: 10.1016/j.chb.2013.07.045

Patton, M. Q. (2002). Qualitative research and evaluation methods (3rd ed.). Thousand Oaks,

CA: Sage Publishing.

Peto, E., Onishi, E., & Irish, B. (1998). Tech team: Student technology assistants in the

elementary and middle school. Worthington, OH: Linworth Publishing, Inc.

Pierce, M. (2012). Student-run tech support programs advance at the speed of technology. T.H.E.

Journal, 1. Retrieved from https://thejournal.com/articles/2012/11/06/student-run-tech-

support.aspx?=THE21

156

Potter, S. L., & Rockinson-Szapkiw, A. J. (2012). Technology integration for instructional

improvement: The impact of professional development. Performance Improvement,

51(2), 22-27. doi: 10.1002/pfi.21246

Ravitz, J. (2009). Introduction: Summarizing findings and looking ahead to a new generation of

PBL research. Journal of Problem-Based Learning, 3(1), 4-11.

doi: 10.7771/1541-5015-1088

Resta, V., Huling, L., & Yeargain, P. (2013). Teacher insights about teaching, mentoring, and

schools as workplaces. Curriculum and Teaching Dialogue,12(1-2), 117. Retrieved from

http://www.infoagepub.com

Roca, J. C., & Gagné, M. (2008). Understanding e-learning continuance intention in the

workplace: A self-determination theory perspective. Computers in Human Behavior,

24(4), 1585-1604. doi: 10.1016/jchb.2007.06.001

Rouibah, K., Abbas, H., & Rouibah , S. (2011). Factors affecting camera mobile phone adoption

before e-shopping in the Arab world. Technology in Society, 33(3/4), 271-283. doi:

10.1016/j.techsoc.2011.10.001

Rubin, H. J., & Rubin, I. S. (2005). Qualitative interviewing: The art of hearing data.

Thousand Oaks, CA: Sage Publishing.

Saldaña, J. (2013). The coding manual for qualitative researchers. Thousand Oaks, CA: Sage

Publishing.

Sanders, M. (2009). STEM, STEM education, STEMania. The Technology Teacher,

68(4), 20-27. Retrieved from https://www.questia.com

Sawchuk, S. (2008). Leadership gap seen in post-NCLB changes in U.S. teachers. Education

Week, 28(3), 1-16. Retrieved from http://www.edweek.org

157

Schnellert, G., & Keengwe, J. (2012). Digital technology integration in American public

schools. International and Communication Technology Education, 8(3), 36. doi:

10.4018/jicte.2012070105

Selim, H. N. (2003). An empirical investigation of student acceptance of course websites.

Computers & Education, 40, 343-360. doi: 10.1016/S0360-1315(02)00142-2

Shen, Q. (2009). Case study in contemporary educational research: conceptualization and

critique. Cross-Cultural Communication, 5(4), 21-31. doi: 10.3968/770

Shroff, R. H., Deneed, C., & Ng, E. (2011). Analysis of the technology acceptance model in

examining students’ behavioral intention to use an e-portfolio system. Australasian

Journal of Educational Technology, 27(4), 600-618. Retrieved from

http://www.ascilite.org

Skoretz, Y. M. (2011). A study of the impact of a school-based, job-embedded professional

development program on elementary and middle school teacher efficacy for technology

integration (Doctoral dissertation). Retrieved from http://mds.marshall.edu/etd/150.

(ED526330)

Smarkola, C. (2008). Efficacy of a planned behavior model: Beliefs that contribute to computer

usage intentions of student teachers and experiences teachers. Computers in Human

Behavior, 24, 1196-1215. doi: 10.1016/j.chb.2007.04.005

Smolin, L. I., & Lawless, K. (2010). Using multi-literacies to facilitate relevant pedagogy in the

classroom. In D. R. Cole & D. L. Pullen, (Eds.). Multiliteracies in motion (1st ed., pp.

173-187). New York, NY: Routledge.

Spradley, J. P. (1980). Participant observation. New York, NY: Holt, Rinehart, and Winston.

Stake, R. E. (1995). The art of case research. Newbury Park, CA: Sage Publications.

158

Stewart, W. P., & Floyd, M. F. (2004). Visualizing leisure. Journal of Leisure Research, 36(4),

445-460. Retrieved from http://js.sagamorepub.com/jlr

Stoltzfus, J. (2005). Construct validity of the level of technology implementation (LOTI)

survey, in-service teacher version: A preliminary analysis. Philadelphia, PA: Mid-

Atlantic Regional Technology in Education Consortium.

Sung, H. Y., & Hwang, G. J. (2013). A collaborative game-based learning approach to

improving students’ learning performance in science courses. Computers & Education,

63(1), 43-51. doi: 10.1016/j.compedu.2012.11.019

Tai, Y., & Ting, Y. L. (2011). Adoption of mobile technology for language learning: Teacher

attitudes and challenges. The JALT CALL Journal, 7(1), 3-18. Retrieved from

http://journal.jaltcall.org

Tamim, R. M., Bernard, R. M., Borokhovski, E., Abrami, P.C., & Schmid, R. F. (2011). What

forty years of research says about the impact of technology on learning a second order

meta-analysis and validation study. Review of Educational Research, 81(1), 4-28. doi:

10.3102/0034654310393361

Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of

competing models. Information Systems Research, 6(1), 144-176. doi:

10/1287/isre.6.2.144

Teo, T. (2009). Modeling technology acceptance in education: A study of pre-service teachers.

Computers & Education, 52, 302-312. doi: 10.1016/j.compedu.2008.08.006

159

Teo, T., Ursavas, O. F., & Bahçekapili, E. (2012). Efficacy of the technology acceptance model

(TAM) to explain pre-service teachers’ intention to use technology: A Turkish study.

Campus-Wide Information Systems, 28(2), 93-101. Retrieved from

http://www.emeraldgrouppublishing.com/ijilt

Timothy, T. (2009). Modeling technology acceptance in education: A study of pre-service

teachers. Computers & Education, 52, 302-312. doi: 10.1016/j.compedu.2008.08.006

Türel, Y. K., & Johnson, T. E. (2012). Teachers’ belief and use of interactive whiteboards for

teaching and learning. Educational Technology & Society, 15(1), 381-394. Retrieved

from http://www.ifets.info

Venkatesh, V., & Bala, H. (2013). TAM3: Advancing the technology acceptance model with a

focus on interventions. Manuscript in preparation. Retrieved from

http://www.vvenkatesh.com

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance

model: Four longitudinal field studies. Management Science, 46(2), 186-204. doi:

10.1287/mnsc.46.2.186.11926

Venkatesh, V., & Morris, M. (2000). Why don’t men ever stop to ask for directions? Gender,

social influence, and their role in technology acceptance and usage behavior. MIS

Quarterly, 24(1), 115-139. doi: 10.2307/3250981

Venkatesh, V., Morris, M. G., Davis, F. D., & Davis, G. B. (2003). User acceptance of

information technology: Toward a unified view. MIS Quarterly, 27, 425-478. doi:

10.2307/30036540

160

Wallace, L. G., & Sheetz, S. (2014). The adoption of software measures: A technology

acceptance model (TAM) perspective. Information & Management, 51(1), 249-

259. doi: 10.1016/j.im.2013.12.003

Wang, L., Myers, D. L., & Yanes, M. J. (2010). Creating student-centered learning experience

through the assistance of high-end technology in physical education: A case study.

Journal of Instructional Psychology, 37(4), 352-356. Retrieved from

http://www.projectinnovation.biz/jip

Wang, S., Hsu, H., Campbell, T., Coster, D. C., & Longhurst, M. (2014). An investigation of

middle school science teachers and students use of technology inside and outside of

classrooms: Considering whether digital natives are more technology savvy that their

teachers. Educational Technology, Research and Development, 62(2), 637-662.

doi:http://dx.doi.org/10.1007/s11423-014-9355-4

Wang, Y. S., Lin, H.-H., & Luarn, P. (2006). Predicting consumer intention to use mobile

service. Information Systems Journal, 16(2), 157-179. doi:

10.1111/j,1365-2575.2006.00213.x

Welman, J. C., & Kruger, S. J. (1999). Research methodology for the business and

administrative sciences. Johnnesburg, South Africa: International Thompson.

Wikia Technology. (2013). Generation Z: A look at the technology and media habits of today’s

teens. Journal of Engineering, 1, 1603. Retrieved from

http://rx9vh3hy4r.search.serialssolutions.com/?ctxGeneration_Z_A_Look_At_The_Tech

nology_And_Media_Habits_Of_Today_s_Teens&paramdict=en-US

161

Williams, M.D., Slade, E. L., & Dwivedi, Y. K. (2014). Consumers’ intentions to use e-readers.

The Journal of Computer Information Systems, 54(2), 66. doi:

10.1080/08874417.2014.11645687

Wolk, R. M. (2009). Using technology acceptance model for outcomes assessment in higher

education. Information Systems Educational Journal, 7(43), 3-18. Retrieved from

http://isedj.org

Wong, J. C. J., Ooi, K-B., & Hew, T. S. (2013). Understanding and predicting the motivators of

mobile music acceptance—A multi-stage MRA—Artificial neutral network approach.

Telematics and Informatics, 31(4), 569-584. doi: 10.1016/j.tele.2013.11.005

Wu, J. (2009). A meta-analysis of the role of environment-based voluntariness in information

technology acceptance. MIS Quarterly, 33(2), 419-432. doi: 10.1201/9781420074086-b2

Yasar, O., Maliekal, J., Little, L., & Veronsei, P. (2014). An interdisciplinary approach to

professional development for math, science, and technology teachers. Journal of

Computers in Mathematics and Science Teaching, 33(s), 349-374. Retrieved from

http://eric.ed.gov/?id=EJ1036561

Yim, S., Warschauer, M., Zheng, B., & Lawrence, J. F. (2014). Cloud-based collaborative

writing and the Common Core Standards. Journal of Adolescent & Adult Literacy,

58(3), 234-254. doi: 10.1002/jaal.345

Yin, R. (2002). Case study research: Design and methods. Thousand Oaks, CA: Sage.

Yin, R. (2009). Case study research: Design and methods (4th ed.). Thousand Oaks, CA: Sage.

Yin, R. (2013). Case study research: Design and methods (5th ed.). Thousand Oaks, CA: Sage.

162

Yucel, U. A., & Gulbahar, Y. (2013). Technology acceptance model: A review of the prior

predictors. Egitim Bilimleri Fakultesi Dergisi, 46(1), 89-109. Retrieved from

dergiler.ankara.e

163

APPENDIX A

TEACHER INTERVIEW QUESTIONS AND SCRIPT

Hello, my name is Jenny Michelle Owens Whitt. I am an Ed.D candidate at Liberty

University. I am inviting you to participate in a descriptive case study focusing on teacher

technology acceptance and classroom integration in context to a student-supported professional

development model. Throughout this descriptive case study, you will be identified by a

pseudonym that I generate in order for your responses to be confidential. I will be recording this

interview, which you have already provided consent. I am required to keep a transcript of the

recording for a minimum of three years. This interview will be transcribed and you will be

provided with a copy to review for accuracy. At that time, you can clarify responses and make

changes. Once your edited copy is returned to me, I will delete all previous copies. In addition,

I will keep the final copy in a password-protected computer used for research and a password-

protected thumb drive, which will be secured in a locked file cabinet that only I have the key to.

Before we begin the interview, I would like to inform you that this is voluntary; therefore, you

can stop participation at any time. You have the right to decide not to answer any questions. If

you decide to stop participation, your data will be destroyed and will not be used in this study. I

recommend that you answer the questions in a truthful manner and to the best of your ability. If

at any time I feel that you are experiencing discomfort, I will stop the interview.

Audio Recoding: Destruction

You have the right to withdraw participation from this study at any time. In order to

withdraw, you need to notify me that you no longer wish to be part of the study and that you

would like all data associated with you destroyed, to include your audio recording, and not used

in this study. When this is received, I will destroy all data collected from you. There are already

164

specific questions established; however, additional questions might emerge throughout the

interview.

Definitions:

In this descriptive case study, technology will be defined as using the Internet on an

iPad™ or laptop in a classroom environment as an instructional and learning tool. Student-

supported professional development will be defined as teachers receiving and participating in

nine sessions of technology professional development with the students in their classroom.

1. Please describe your teaching experience, beginning with the number of years you

have taught.

2. Please describe your educational background, technology training and implementation

prior to participation in student-supported professional development.

3. What impact has student-supported professional development had on your ability to

use technology in your classroom?

4. Please describe your comfort level using technology in classroom instruction and if

this changed after participating in student-supported professional development.

5. How often do you use technology during classroom instruction to do a task when there

is a feature to help you perform it?

6. To what extent has student-supported professional development impacted your future

use of technology classroom instruction?

7. To what extent has student-supported professional development impacted time

management while using technology in your classroom instruction?

8. To what extent has participating in student-supported professional development

165

provided you with a great deal of experience using technology during classroom

instruction?

I appreciate you taking the time to complete this interview. Your responses will be used

throughout this case study. Do you have any questions that you would like to ask me?

166

APPENDIX B:

ADMINISTRATOR INTERVIEW QUESTIONS AND SCRIPT

Hello, my name is Jenny Michelle Owens Whitt. I am an Ed.D candidate at Liberty

University. I am inviting you to participate in a descriptive case study focusing on teacher

technology acceptance and classroom integration in context to a student-supported professional

development model. Throughout this descriptive case study, you will be identified by a

pseudonym that I generate in order for your responses to be confidential. I will be recording this

interview, which you have already provided consent. I am required to keep a transcript of the

recording for a minimum of three years. This interview will be transcribed and you will be

provided with a copy to review for accuracy. At that time, you can clarify responses and make

changes. Once your edited copy is returned to me, I will delete all previous copies. In addition,

I will keep the final copy in a password-protected computer used for research and a password-

protected thumb drive, which will be secured in a locked file cabinet that only I have the key to.

Before we begin the interview, I would like to inform you that this is voluntary; therefore, you

can stop participation at any time. You have the right to decide not to answer any questions. If

you decide to stop participation, your data will be destroyed and will not be used in this study. I

recommend that you answer the questions in a truthful manner and to the best of your ability. If

at any time I feel that you are experiencing discomfort, I will stop the interview.

Audio Recoding: Destruction

You have the right to withdraw participation from this study at any time. In order to

withdraw, you need to notify me that you no longer wish to be part of the study and that you

would like all data associated with you destroyed, to include your audio recording, and not used

in this study. When this is received, I will destroy all data collected from you. There are already

167

specific questions established; however, additional questions might emerge throughout the

interview.

Definitions:

In this descriptive case study, technology will be defined as using the Internet on an

iPad™ or laptop in a classroom environment as an instructional and learning tool. Student-

supported professional development will be defined as teachers receiving and participating in

nine sessions of technology professional development with the students in their classroom.

Definitions

In this descriptive case study, technology will be defined as using the Internet on an

iPad™ or laptop in a classroom environment as an instructional and learning tool. Student-

supported professional development will be defined as students receiving and participating in

nine sessions of technology professional development with their classroom teacher.

1. Please describe your professional and educational background.

2. Please describe technology usage throughout the elementary school prior to student-

supported technology professional development that started in the 2013-14 academic

school year.

3. Please describe your perceptions of teacher comfort level using technology in classroom

instruction and if this changed after participating in student-supported professional

development that began in the 2013-14 academic school year.

4. Please describe your perceptions of student comfort level using technology in classroom

instruction and if this changed after participating in student-supported professional

development that began in the 2013-14 academic school year.

168

5. Please describe how often and at what level you observe technology usage during

classroom instruction in a classroom where student-supported technology professional

development occurred?

6. Please describe how often and at what level you observe technology usage during

classroom instruction in a classroom where student-supported technology professional

development was not conducted?

7. To what extent has student-supported professional development impacted teacher

technology acceptance and integration into classroom instruction?

I appreciate you taking the time to complete this interview. Your responses will be used

throughout this case study. Do you have any questions that you would like to ask me?

169

APPENDIX C:

TECHNOLOGY ACCEPTANCE MODEL SURVEY

NOTE: This survey was modified to target classroom instruction with permission from Davis’ (1989) based off of his survey used to evaluate user perceptions towards technology systems.

5 = Strongly Agree 4 = Somewhat Agree 3 = Neither Agree or Disagree 2 = Somewhat Disagree 1 = Strongly Disagree

1. Using the Internet in my classroom can enable me to accomplish tasks more

quickly____________

2. Using the Internet in my classroom can improve my performance____________

3. Using the Internet in my classroom can make it easier to do my tasks___________

4. Using the Internet in my classroom can increase my productivity_________

5. Using the Internet in my classroom can enhance my effectiveness while teaching

__________

6. I find the Internet useful in my teaching _______________

7. Learning to use the Internet in my classroom instruction is easy for me_______________

8. I find it easy to find what I need or want to integrate into classroom instruction from the

Internet______________

9. My interaction with the Internet during classroom instruction is clear and

understandable_____________

10. I find the Internet to be flexible to interactive with when integrating it into classroom

instruction______________

11. It is easy for me to become skillful at using the Internet for classroom instruction

_________________

170

12. I have fun interacting with the Internet in my classroom instruction _________________

13. Using the Internet provides me with a lot of enjoyment during my classroom instruction

___________

14. I enjoy using the Internet in my classroom instruction___________

15. Using the Internet in my classroom instruction bores me____________

16. I always try to use the Internet during classroom instruction to do a task whenever it has a

feature to help me perform it_______

17. I always try to use the Internet in as many cases or occasions as possible during

classroom instruction__________

18. I expect my use of the Internet in my classroom instruction to continue in the

future___________

19. Using the Internet in my classroom instruction can take up too much of my time when

performing many tasks___________

20. When I use the Internet in my classroom instruction, I find it difficult to integrate the

results into my existing work__________

21. Using the Internet for classroom instruction and data collection exposes me to the

vulnerability of computer breakdowns and loss of data_____

22. I have a great deal of experience using the Internet during classroom instruction

____________

23. Number of years using the Internet___________ /Number of years using the Internet in

classroom instruction ____________

171

APPENDIX D: IRB APPROVAL

8/17/2016

Jenny Michelle Owens Whitt
IRB Approval 2594.081716: A Descriptive Case Study: Elementary Teachers’ Technology Acceptance and Classroom Integration

Dear Jenny Michelle Owens Whitt,

We are pleased to inform you that your study has been approved by the Liberty IRB. This approval is extended to you for one year from the date provided above with your protocol number. If data collection proceeds past one year, or if you make changes in the methodology as it pertains to human subjects, you must submit an appropriate update form to the IRB. The forms for these cases were attached to your approval email.

Thank you for your cooperation with the IRB, and we wish you well with your research project. Sincerely,

G. Michele Baker, MA, CIP

Administrative Chair of Institutional Research

The Graduate School

Liberty University | Training Champions for Christ since 1971

172

APPENDIX E: Invitation to Participate:

RECRUITMENT NOTICE:

TO PARTICIPATE IN A DOCTORIAL RESEARCH PROJECT Date:

[Recipient]

Dear [Recipient]:

As a graduate student in the Department of Education at Liberty University, I am conducting

research as part of the requirements for a Doctor of Education degree. The purpose of my

research is to inviting you to examine technology acceptance and classroom integration in

context to a student-supported professional development model. I am writing to invite you to

participate in my study.

If you are a teacher whom participated in student-supported technology professional

development provided by me during the 2013-14 and/or 2014-15 school year and will willing to

participate, you will

• Complete an on-line survey conducted through Survey Monkey®, which should take

approximately five minutes

• Participate in an approximately 20 minute Face-to-Face Open-Ended Interview

If you are an administrator whom observed student-supported technology professional

development provided by me in the 2013-14 and/or 2014-15 school year, and will willing to

participate, you will

• Participate in an approximately 20 minute Face-to-Face Open-Ended Interview

Your participation will be completely anonymous, and no personal, identifying information will

be required.

To participate, complete the Informed Consent and return it to me via e-mail. You will then

receive the Participation Survey and a place where you can suggest a time and date we can meet

to conduct the Face-to-Face Open-Ended Interview.

173

The attached consent document contains additional information about my research. Please sign

the consent document and return it to me.

Sincerely,

Jenny Michelle Owens Whitt

Liberty University Doctoral Candidate

174

APPENDIX F: INFORMED CONSENT

The Liberty University Institutional Review Board has approved this document for use from

8/17/2016 to 8/16/2017 Protocol # 2594.081716

INFORMED CONSENT FORM
 A DESCRIPTIVE CASE STUDY: ELEMENTARY TEACHERS’ TECHNOLOGY

ACCEPTANCE AND CLASSROOM INTEGRATION

Jenny Michelle Owens Whitt

Liberty University School of Education

You are invited to participate in a research study of teacher technology acceptance and classroom integration in the context of a student-supported professional development model that occurred during the 2013-14 and 2014-15 school year. Both teacher and administrator cases will be selected in this descriptive case study. Teacher cases were selected because of participation in student-supported professional development during the 2013-14 and/or 2014- 15 academic school years. Administrator cases were selected based on observations of student- supported technology professional development in the 2013-14 and/or 2014-15 academic school years. Please read this form and present any questions you may have before agreeing to be in the study. Jenny Michelle Owens Whitt, a student/doctoral candidate in the School of Education at Liberty University, is conducting this study. Background Information: The purpose of this study is to examine teacher technology acceptance and classroom integration in the context of a student-supported professional development model. Procedures: If you agree to be in this study, you will be asked to do the following based off of student- supported professional development that you previously received:
 1. Answer technology usage and demographic questions to include educational background and experiences during a voice recorded interview lasting approximately 20 minutes, and 2. Answer a 23-question, 5-minute survey focusing on technology usage (teacher cases only).
 3. I will retrieve teacher observations conducted during the 2013-14 and 2014-15 school year that focused on technology integration. All observations were conducted by me as part of program evaluation and district technology integration into classroom instruction (teacher cases only).

175

The Liberty University Institutional Review Board has approved this document for use from

8/17/2016 to 8/16/2017 Protocol # 2594.081716

Risks and Benefits of Participation:


• The risks are minimal and no more than one would encounter in everyday life. The benefits to participation are:

• Cases in the study will receive no direct benefit. The professional development occurred in the past.

The benefits to society are:


• The possible benefits to society is the contribution to the current and future research of an effective technology professional development model resulting in teacher technology acceptance and integration in classroom instruction. If this technology professional development model is effective then the benefits would be to school districts, teachers, parents, and students. Compensation:
 You will receive no compensation for taking part in this study. Confidentiality: Any information collected in this study is considered confidential and will be disclosed only with permission from the case or as required by law. The information collected from you will be coded using a pseudonym. The information that has your identifying features, such as your name, will be kept separately in a password-protected thumb drive to which only the researcher has access. One document identifying cases and their pseudonyms will be stored in a separate password protected thumb drive to which only the researcher has the password. Interview audio recording will be conducted using pseudonyms, and records will be secured. Once transcribed, audio recordings will be deleted. All data will be stored for three years then it will be destroyed. After the results are published or discussed, no identifying information will be included. You will be referred to by the pseudonym provided by the researcher. The records of this study will be kept private. In any reports published, information making it possible to identify a subject will not be included. Research records will be stored securely, and only the researcher will have access to the records. Voluntary Nature of the Study: Participation in this study is voluntary. Your decision whether or not to be a case will not affect

176

The Liberty University Institutional Review Board has approved this document for use from

8/17/2016 to 8/16/2017 Protocol # 2594.081716

your current or future relations with Liberty University or your current school district. If you decide to be a case, you are free to not answer any question or withdraw at any time without affecting those relationships. How to Withdraw from the Study: If you choose to withdraw from the study, please contact the researcher at the email address/phone number included in the next paragraph. Should you choose to withdraw, data collected from you will be destroyed immediately and will not be included in this study. Contacts and Questions: The researcher conducting this study is Jenny Michelle Owens Whitt. You may ask any questions you have now. If you have questions later, you are encouraged to contact her at [email protected] or 816-592-9871. You may also contact the research’s faculty advisor, Dr. Jennifer Courduff, at [email protected]. If you have any questions or concerns regarding this study and would like to talk to someone other than the researcher, you are encouraged to contact the Institutional Review Board, 1971 University Blvd, Green Hall Suite 1887, Lynchburg, VA 24515 or email at [email protected]. Please notify the researcher if you would like a copy of this information to keep for your records. Statement of Consent: I have read and understood the above information. I have asked and received answers to my questions. I consent to participate in the study. __ The researcher has my permission to audio-record me as part of my participation in this study. Signature: _____________________________________________ Date: ______________

Signature of Investigator: _______________________________ Date: _______________

177

APPENDIX G:

TECHNOLOGY PROFESSIONAL DEVELOPMENT WEEKLY SESSION CONTENT

Week

Content

Week 1 • iPad™ Introduction • iPad™ Quick Fixes • Weekly Assignment: Familiarize self with the iPad™

Week 2

• Review Quick Fixes • iPad™ App Introduction • Curriculum and App Connection • Weekly Assignment: Use at least one App in classroom instruction to

support curriculum

Week 3

• iPad™ App Review • Google Classroom™ and Curriculum Connection • Google Classroom™ Introduction • Google Classroom™ Log-in • Weekly Assignment: Teacher will create a Google Classroom™, allow

students access, and post at least one assignment that supports curriculum. Have students complete the assignment and post in Google Classroom™.

Week 4

• Google Classroom™ Review • Connecting Curriculum and Google Classroom™ • Google Classroom™ Assignment and Upload Activity • Weekly Assignment: Teacher will post at least one assignment that

supports curriculum in Google Classroom™. Have students complete the assignment and then post in Google Classroom™.

Week 5 • iPad™ Quick Fixes Review • Curriculum and Educreations™ Connection • Introduce and provide instruction on the use of the App Educreations™ to

include drawing, uploading a picture, recording voice, and saving finished project.

• Weekly Assignment: Teacher and students work together to upload a picture, type a sentence, record voice, and save. In addition, the teacher will provide the researcher with ideas as to how projects using Educreations™ can be used to support curriculum and in classroom instruction.

178

Week 6

• Curriculum and Connections to Educreations™ discussion • Review Educreations™ focusing specifically on how to use. • All participants and students create a project with at least three pages

using the App Educreations™. • Introduce options for uploading finished projects using Educreations™

into Google Classroom™. • Weekly Assignment: The teacher participant will create a lesson where

students create a project using Educreations™. The participant will create an assignment in Google Classroom™ that includes the student uploading their Educreations™ project into Google Classroom™.

Week 7

• Curriculum and Questioning Using Technology: emphasizing options for generating questions and discussions using technology.

• Introduce Announcements as Discussion Board in Google Classroom™ • Establish classroom rules and expectations while in an on-line discussion

board forum • Weekly Assignment: After completing a lesson, the teacher participant

will generate and participate in a discussion board with students.

Week 8

• Curriculum and Google™ Presentation Introduction • Curriculum and Google™ Presentation Connection • Google™ Presentation Instruction: How to use it? • Weekly Assignment: Teacher participant will create an assignment in

Google Classroom™ where the student is required to create and then upload the Google™ Presentation into Google Classroom™.

Week 9

Discussion: Review Curriculum and Technology: How can technology be implemented in the classroom to enhance learning and curriculum? Discuss ideas for future technology use in classroom instruction.

179

APPENDIX H

TECHNOLOGY ACCEPTANCE MODEL SURVEY PERMISSION FOR USE

Copy of E-mail from Dr. Fred Davis (May 27, 2016) Jenny, You have my permission to modify and use the survey I developed for your research. The only suggestion that occurs to me is that researchers usually average the numerically coded values for the answers to perceived usefulness and perceived ease of use questions, respectively, to compute overall scores or ratings for these constructs. Best wishes, Fred Davis

Copy of E-mail from Jenny Michelle Owens Whitt to Dr. Fred Davis (May 27, 2016)

Dr. Davis: I am seeking permission to use a modified version modified version of the survey developed by you for assessing user perceptions of technology systems in my dissertation. I was wondering if you could provide me with guidance on this journey? I know that you are a very busy man; therefore, I would be appreciating any guidance that you might offer. I have provided the purpose for my study and a copy of my survey below. Thank you for taking the time to read my e-mail. Jenny Whitt Purpose Statement: The purpose of this descriptive case study is to examine teachers’ technology acceptance and classroom integration in the context of a student-supported professional development model at an elementary school located in northwestern Missouri. Survey Questions: TECHNOLOGY ACCEPTANCE MODEL SURVEY

(Modified to target classroom instruction) 5 = Strongly Agree 4 = Somewhat Agree 3 = Neither Agree or Disagree 2 = Somewhat Disagree 1 = Strongly Disagree

1. Using the Internet in my classroom can enable me to accomplish tasks more quickly____________

180

2. Using the Internet in my classroom can improve my performance____________ 3. Using the Internet in my classroom can make it easier to do my tasks___________ 4. Using the Internet in my classroom can increase my productivity_________ 5. Using the Internet in my classroom can enhance my effectiveness while teaching __________ 6. I find the Internet useful in my teaching _______________ 7. Learning to use the Internet in my classroom instruction is easy for me_______________ 8. I find it easy to find what I need or want to integrate into classroom instruction from the

Internet______________ 9. My interaction with the Internet during classroom instruction is clear and

understandable_____________ 10. I find the Internet to be flexible to interactive with when integrating it into classroom

instruction______________ 11. It is easy for me to become skillful at using the Internet for classroom instruction

_________________ 12. I have fun interacting with the Internet in my classroom instruction _________________ 13. Using the Internet provides me with a lot of enjoyment during my classroom instruction

___________ 14. I enjoy using the Internet in my classroom instruction___________ 15. Using the Internet in my classroom instruction bores me____________ 16. I always try to use the Internet during classroom instruction to do a task whenever it has a feature

to help me perform it_______ 17. I always try to use the Internet in as many cases or occasions as possible during classroom

instruction__________ 18. I expect my use of the Internet in my classroom instruction to continue in the

future___________ 19. Using the Internet in my classroom instruction can take up too much of my time when

performing many tasks___________ 20. When I use the Internet in my classroom instruction, I find it difficult to integrate the results into

my existing work__________ 21. Using the Internet for classroom instruction and data collection exposes me to the vulnerability

of computer breakdowns and loss of data_____ 22. I have a great deal of experience using the Internet during classroom instruction ____________ 23. Number of years using the Internet___________ /Number of years using the internet in

classroom instruction ____________

181

APPENDIX I:

SAMPLE OBSERVATION NOTES

Objective: Technology Inclusion in Classroom Instruction Setting: (Classroom/Teacher/Subject) Observer: Researcher Role of Observer: Participant Observations Time/Date: Length of Observation: Technology Inclusion Observation Description: Example 02/11/2015: Students were working on making a weather book. As part of the weather book, students were creating an animated video describing the process of either rain, freezing rain, or how snow can change into rain (vice versa) before it hits the ground. The animated video was created using PowToon. Once the videos were published, the link was copied and placed in the students’ weather book. Teacher: “grab your computers. You need to log-n get your PowToons and work on it. Your job today is to log back end, look it over, and then finish it. By the end of lass we will publish PowToon, log into your weather book, and place the link in your weather book.” Reflective Notes: Example 10/2013: This was a scheduled technology implementation observation. Teacher commented that she could show a video, show a picture, and use the elmo and that was the extent of her technology usage. The teacher is not comfortable with technology. Each time the screen went blank, time out period, the teacher made a reference about technology. “Technology is so confusing.” “I am sorry, I just don’t know why it keeps doing that.” “How can I fix this.” “I should have just copied this.” “I have other things to do. This is why I do not use technology.” Example 10/2014: The teacher was able to guide students through fixing minor issues such as turning the volume down and up and home key fixes, but the teacher was unwilling to explore with anything that was not in her comfort level. The item the teacher would not handle was turning the volume on. This skill was covered multiple times during the previous PD where the iPad was introduced. The teacher did not check to make sure that students were where they were suppose to be while working with the iPads. There was no direct content link to the iPad activity. The researcher was under the impression that the iPad was used to keep students focused and occupied while the teacher worked in small groups. Example 02/2014: The teacher did ask the researcher one question for clarity. The teacher asked a specific question about the voice recording on educreations. The teacher asked if clearing the recording on one page would clear all of the recording? The teacher easily asked, answered and redirected questions about the technology side of the assignment. Student demonstrated independence. They were able to complete the tasks observed by the researcher with limited support from the teacher. (Modeled after Creswell, 2008, p. 224)

182

APPENDIX J:

SAMPLE REFLECTIVE JOURNAL

August 16, 2016 (Note to Self): To ensure my bias does not interfere with data analysis, I will

use data that is a direct reflection of each participants’ views and not my own experiences

(Creswell, 2013). In order to do this, I will employ specific safeguards, such as member

checking and acknowledging my personal experiences so that I ensured that the study remains

focused on the participants’ (Creswell, 2013).

September 4, 2016: Reviewed data analysis procedures. Need to reread all data to familiarize

myself with what the participant is saying, what they did, and what occurred during observations.

Address personal bias.

October 3, 2016 (Note to Self): Member checks occurred, which consisting of the review of

interview manuscripts and findings. I also asked specific prepared questions and did not interject

any of my opinions. Peer reviews and reflective notes were used as tools to reduce potential

influences of my bias on any data collected and analyzed.

November 1, 2016: Finish second round of coding. Look for: Sort data and categorize.

Remember that NVivo software does not code. It notes frequency. I need to label and code.

Code each participant as an individual and then as a whole for reoccurring themes.

February 2017: Four Themes

183

APPENDIX K:

PRIMARY THEMES AND SUBTHEMES

Primary Themes Subthemes Related to Primary Themes Skill and Knowledge Development • Skill Developed to Maximize Usage

• Student Skill and Knowledge (Pre) • Student Skill and Knowledge (Post) • Teacher skill and Knowledge (Pre) • Teacher Skill and Knowledge Post • Student Need to Acquire Skills • Student and Teacher Confidence Improved • Teacher Fear of not Enough Skills • Teacher and Student Skills Need to Increase • Skills Change Classroom Instruction • Technology Skills

Lack of Use Prior to Intervention/Professional Development

• Experience • Prior to Student-Supported Technology • Primarily Played Games • Computer Lab for Fun Only • Limited Technology Acceptance • Limited Technology Usage (Classroom) • Primarily Overhead Projector • Unused Technology Throughout School • Basic Technology Skills • Personal Usage, but Limited Classroom • Prior Technology Professional Development

Not Integrated into the Classroom

Successful Experience with Technology • Experience • Resulted from Student-Supported Professional

Development • Perceived Usefulness • Perceived Ease of Use • Intent to Use • Actual Use • Teachers Impressed with Students • Daily Usage Increased • Enhanced rigor and Creativity • Impact on Student Learning and Instruction • Improved Accountability • Increased Productivity • Cross-Curriculum Impacts • Various Levels of Technology Integration • All Students are Learning • Students on Task • Troubleshooting with Students • Student Independence • More Options to Display/Complete Work • Increased Problem-Solving, Communication,

and Classroom Management

184

• Accessible and Advantages • Student and Teacher Expanded Technology

Skills • Content Easier: Ex. Research • Improved Teaching • Effects of Technology

Evidence of Acceptance and Integration • Prior to Student-Supported Technology

• Creating Animated Videos • Technology Usage in the Classroom • Carts no Longer Sitting Unused • Technology Used to Instruct Students • Teachers are willing to Use Technology • Increase in Student and Teacher Acceptance • Prior: Technology Integration was Minimal • Post: Problem-Solving Skills and Upper-Level

Critical Thinking Demonstrated • Changes in Teacher Attitudes (Proud) • Acceptance of Technology Due to Being

Progressive • Virtual Books: Creating Pictures and Text and

Reading the Text • Understanding of the Role Technology Plays

in Student Learning • Engaging • Enhanced Student Learning • Teachers went from Fear to Give Me More • Continued Usage Past Student-Supported

Professional Development • Confidence Boost • Technology: Overhead Projector, iPads,

laptops, Internet, specific apps, and Programs • Model: Teacher Lead to Student Lead • Collaboration During Technology Integration • Educreations • Observations of Technology Integration • Projects Demonstration Higher-Level

Thinking • Apple TV • Weather Books (Science) • Acceptance and Integration