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Affordances of Learning Technologies in Higher Education

Multicultural Environments

Edilson Arenas

CQUniversity, Melbourne, Australia

[email protected]

Abstract: A cluster of research has been conducted in higher education to investigate the affordances (action possibilities)

and the influence information and communication technologies (ICT) may have on students’ learning experiences and

outcomes. Such studies have given rise to the implementation of a wide range of educational frameworks with a great deal

of empirical evidence on the benefits of using technologies to improve learning. However, these benefits do not appear to

have fulfilled higher education expectations for more meaningful and transformative learning experiences. In this paper, I

argue that part of the problem is either the content or teacher–centric perspective of these frameworks and the need to

explore the benefits from a more student–centric perspective. Learning is contextual, with learners having different

abilities to learn and varying preferences for educational technologies with greater potential to facilitate their learning

activities. Drawing on an ethnographic study of culturally diverse computing students and teachers within learning

environments that blend online and face-to-face pedagogies, I argue that our understanding of what ICT has to offer for

the design and implementation of transformative learning activities is a far more complex issue than is often anticipated,

particularly in the design and implementation of learning for computer science programs.

Keywords: academic disciplines, computer science, computing science education, e-learning, ICT affordances, learner’s

preferences, learning styles, learning technologies, media affordances, online learning

1. Introduction

There is an extensive body of research on the affordances of information and communication technology (ICT)

to transform learning and teaching in higher education (see Collis 1997; Fowler & Mayes 1999; Goodyear 2005;

Laurillard 2002; Oliver 2001). For example, in her influential Conversational Framework, Laurillard (2002)

claims that for ICT to play an effective role in learning and teaching, there need to be mechanisms to support

the interactive dialogue between teachers and students with the subject matter. Fowler and Mayes (1999)

take a similar dialogical approach but primarily focusing on ICT to support the three essential learning stages of

understanding: conceptualisation, construction and contextualisation; enabling the learner to move from a

novice level to an expert level of learning. A different perspective is presented by Collis (1997) in her

pedagogical profile of a course, where the intention of incorporating ICT into the course is to maximise

flexibility, with more student engagement and locus of control. Collis sees two ways to achieve this: either

through the pedagogical enrichment of the course profile or through a more transformative approach known

as the pedagogical re-engineering approach where the components of the course are expected to be radically

changed. In the Australian Flexible Learning Framework for the Vocational Education and Training sector,

according to Oliver (2001), the underpinning theme is for the use of ICT to support the design of the three

learning elements which represent critical components of any learning setting for knowledge construction:

learning activities, learning resources and learning support. Similarly, in Goodyear‘s (2005) conceptual design

framework for networked learning environments, the use of ICT is instrumental in supporting the institutional

combination of two elements: the teacher’s pedagogical approach (teachers’ philosophy to teaching) and the

educational setting including the learning environment, the learning tasks and the learning activities.

However, despite significant investment in infrastructure and training and a wide-scale uptake of such ICT-

mediated educational frameworks, the promised transformative effect on student learning is yet to be

actualised outside of small pockets of innovation (Arenas & Lynch 2012; Price & Kirkwood 2014). Of particular

interest are students’ approaches to learning in multicultural learning environments where ICT is considered as

integral to teaching and learning activities. The above discussed models appear to overlook factors like that

learning is cross-cultural, that learners have different abilities to learn and modes of approaching the

intellectual inquiry; and that all these factors may affect the way students perceive ICT-mediated learning

activities (Arenas 2012). Specifically, this research addresses the following questions:

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Reference this paper as Arenas E. “Affordances of Learning Technologies in Higher Education Multicultural Environments”

The Electronic Journal of e-Learning Volume 13 Issue 4 2015, (pp217-227) available online at www.ejel.org

Electronic Journal of e-Learning Volume 13 Issue 4 2015

• In the context of computing science programs, what are students’ preferences for ICT media in their learning activities?

• What is the relationship between the different types of ICT media, their action possibilities and the way these ICT media best support the learning of computer science?

2. Related work

Two interlocked aspects of learning and teaching appear to be critical in the choice of ICT to support learning:

1) the nature of the subject matter (within an academic discipline) that we as teachers believe students need

to construct their knowledge and, 2) students’ learning styles of intellectual inquiry (Becher 1994). In this

respect, Biglan’s classic model on academic disciplines and Kolb’s learning styles theory might shed some light.

With reference into the similarities and differences of academic disciplines, no other framework has been as

extensively cited and used as Biglan’s classic model (Arbaugh 2013; Lam, McNaught, Lee & Chan 2014; Li, Long

& Simpson 1999; Pike & Killian 2001; Schommer-Aikins, Duell & Barker 2003; Stoecker 1993).

In his model, Biglan (1973) uses the cultural and epistemological uniqueness found in each branch of

knowledge to classify the nature of academic disciplines. In doing so, Biglan (1973) differentiates the academic

disciplines according to their specific characteristics including the object of research, body of knowledge,

theory, principles and research methods. Two dimensions emerge from these characteristics. The first

dimension distinguishes between paradigmatic and non-paradigmatic fields, i.e. hard or soft respectively. For

example, physical sciences are ‘characterised by the existence of paradigms that specify the appropriate

problems for study and the appropriate methods to be used’ (p. 195), while social sciences and non-sciences

areas like history ‘do not have such clearly delineated paradigms’ (p. 195). The second dimension perceives the

subject matter in terms of ‘its requirements for practical applications’, i.e. pure or applied (Biglan 1973). On

those grounds, Biglan (1973) sees academic disciplines divided into four groups: hard-pure, hard-applied, soft-

pure and soft-applied.

The educational context of this study is computing science and in terms of Biglan’s categorisation, it falls into

the hard-applied category (Baldwin 2011; Clark 2003). According to Becher (1994), in the hard-applied

disciplinary group, the nature of knowledge is purposive and pragmatic where individuals are concerned with

the technical mastery of physical environments to build products. Consequently, the effective choice of ICT in

the design and implementation of computing learning and teaching activities should consider these

characteristics of the computing science discipline.

Kolb’s experiential learning theory (ELT) has been instrumental in understanding learners’ preferences and the

way they approach learning. According to Kolb and Kolb (2005), learning is a process where learners construct

knowledge through their experiences with the environment. Kolb sees knowledge as the result of combining

the way individuals grasp and transform their experiences (Kolb & Kolb 2005). According to this theory, there

are two dialectically related modes of grasping experience: Concrete Experience (CE) and Abstract

Conceptualisation (AC). Similarly, there are two dialectically related modes of transforming experience:

Reflective Observation (RO) and Active Experimentation (AE). For example, when a learner is exposed for the

first time to a concrete experience (CE), there is an initial stimulus for the reflective observation (RO) of the

new experience, which in turn gives rise to a thinking process characterised by abstraction and

conceptualisation (AC) to assimilate the new experience. Once the new experience is assimilated the learner is

prepared to act upon and transform it into something different through active experimentation (AE). This

learning cycle repeats in the construction of new knowledge and varies depending on the personality and

experiences of the learner (Kolb & Kolb 2005). In other words, there is a preferred way of choosing amongst

the four abovementioned modes of learning shaped by individual’s previous experiences, learning behaviours,

prior learning and the learning environment. To understand Kolb’s ELT in the context of computer science,

there is a need to explore first what computer science constitutes in terms of an academic discipline.

A provocative and thoughtful description of the nature of computer science as an academic discipline is the

one given by the prominent computer scientist and computational theorist Juris Hartmanis (considered by

many as one of the fathers of computer science education). During his Turing Award lecture on computational

complexity and the nature of computer science, he stated that computer science is all about the creation of

many levels of abstraction to deal with computational problems. It involves the creation of ‘intellectual tools

to conceive, design, control, program and reason about the most complicated of human creation’ (Hartmanis

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1994; p.39). A similar view is shared by Donald Knuth (the father of the analysis of algorithms) who in a

personal communication to Hartmanis commented that:

Computer science is a field that attracts a different kind of thinker. I believe that one who is a natural

computer scientist thinks algorithmically. Such people are especially good at dealing with situations

where different rules apply in different cases; they are individuals who can rapidly change levels of

abstraction, simultaneously seeing things in the large and in the small’ (Knuth in a personal

communication to Hartmanis March 10 1992, in Hartmanis 1994; p.39).

In the light of Harmanis and Knuth, and in terms of Kolb’s modes of learning, computing students are

individuals with a converging style of learning with abstraction, conceptualisation, and active experimentation

as the main dominant learning abilities. Consequently, the choice of ICT for learning purposes should be

consistent with the learning style of these individuals.

Following Biglan and Kolb’s work, this paper builds upon our knowledge about how computing students go

about learning in learning environments with ICT as an integral component in the design of transformative

learning and teaching. The analysis presented below elaborates specifically on computing science students’

diverse responses to particular ICT—mediated learning activities, and through this analysis I argue that our

understanding of what ICT has to offer for the design and implementation of transformative learning activities

is a far more complex issue than is often anticipated, and this is so particularly in the design and

implementation of learning for computer science programs.

3. About the study

3.1 Participants

This paper draws on an ethnographic study (Arenas 2012), conducted at two universities in Australia, that

explored the behaviours, attitudes, perceptions and conceptions of teaching and learning found within

multicultural learning environments that blend online and face-to-face pedagogies.

Data were collected from participants located at two qualitatively different sites. Within each site, two

postgraduate computing courses (or units of study) were targeted for data collection: NetSec (Network

Security) and SAD (Systems Analysis and Design) at Site 1; and BAM (Business Analysis and Modelling) and FOIS

(Fundamentals of Information Systems) at Site 2. The first site (henceforth referred to as Site 1) was located in

one of the metropolitan campuses of a multi-campus medium-sized regional Australian university, and the

second site (henceforth referred to as Site 2) was located in a large metropolitan Australian university. Site 1

student body comprised international students only, whereas Site 2 was located in a university that catered

mainly for domestic students with a relatively smaller population of international students. The learning

management system (LMS) used at Site 1 was a purpose in-house built system whereas at Site 2 students used

Blackboard™, a popular commercially available learning management system.

The purposive, culturally diverse sample from both sites comprised of a total of 18 student participants from

nine countries of origin and their respective teachers. The following is a description of the sample based on

participant-reported background information.

The student sample at Site 1 was comprised of twelve students. They had diverse educational backgrounds,

with varying residency time in the country. Prior to the commencement of the semester term, Site 1 students

had been residing in Australia for periods of between 3 months and 18 months, with half of them for less than

12 months and five students for only three months. Of the twelve student participants, six were men and six

women, including nationalities from Pakistan, China, Bangladesh, Kuwait and India. Before participating in this

study, six students already held a postgraduate degree and three had more than two years’ experience in the

field of information technology. All students who provided information about their skills reported that they

were experts at writing academic arguments in the English language. They also reported to have expert level

knowledge using computer hardware and software and discussion forums; however, only three students

reported to have experience using blogs (electronic journals).

At Site 2, there were six student participants: three men and three women including nationalities from

Australia, Oman, Vietnam, Indonesia and China. Prior to the commencement of the semester term, except for

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one domestic student, Site 2 students had been living in Australia for a period of between one month and two

years, with two students residing in Australia for fewer than three months. Also in contrast to Site 1, where six

students already held a postgraduate degree, at Site 2 all students held only an undergraduate bachelor

degree before the conduct of this study. Three students had between four to thirteen years’ experience

working in an information technology field. Only one student claimed to have only novice expertise in

computer hardware and software and discussion forums compared to the rest who reported to be highly

experienced using those tools. Similarly, two students reported having novice experience writing academic

arguments in English, with the rest reporting to have expert level essay writing skills. Except for one student,

none had substantial team work and management experience.

The teacher participants at Site 1 were two young but experienced teachers: Georgina taught NetSec and

Richard taught SAD (pseudonyms are used throughout to refer to teacher and student participants). Before the

conduct of this study, Georgina had more than three years’ experience teaching information technology

subjects on a sessional basis, that is to say, through separate contracts for the duration of each semester term.

Georgina combined her professional academic practice with full-time paid work in a senior systems

administration role at a prominent Australian financial organisation. She held a Masters degree in information

technology from an Australian university. Richard was a full-time academic staff member with three years’

experience teaching information systems subjects. Before his full-time academic tenure, Richard was a Site 1

alumnus and after his graduation he worked as a teacher on a sessional basis at Site 1. He held a Masters

degree in information systems and a Graduate Certificate in university teaching.

In terms of Site 2 teachers, BAM staff was larger than FOIS, and included three experienced professionals with

different industrial and academic backgrounds. Sophia, the principal academic teacher and teacher participant

responsible for this subject, had completed a PhD in Computer Science and also a Graduate Certificate in

university teaching. She had extensive experience as a research scientist in information architecture; and

usability analysis and design for various industrial and research projects locally and internationally. The other

two teachers did not form part of the sample.

While BAM had three academic staff, FOIS was managed and taught by a single staff member, Shane. Shane

was a senior lecturer within the Faculty of Science at Site 2 with extensive experience teaching online courses.

He held a PhD in Information Systems and a Graduate Certificate in university teaching.

3.2 Data collection

The study used multiple data sources to gain insights into the behaviours, attitudes, perceptions and

conceptions of teaching and learning found within these multicultural blended learning environments. The

data included digital textual records of online discussions, semi-structured interviews, field notes from

classroom observations, a reflective research journal, course-associated documentation, and students’

assignments.

The first source of data consisted of digital texts produced by both student and teacher participants during

their interactions with the online component of the learning environments at each site. During the term,

teachers provided the students with various online learning activities for individual and group work.

At Site 1, student participants were required to maintain an electronic journal (blog) to reflect on their own

learning experiences and perceptions of the course. The blog was based on nine topical questions spread over

the last nine weeks of the semester and was assessed. The teaching staff provided structured marking

guidelines to promote quality work and to ensure each student contributed the nine expected reflections.

They also monitored students’ progress and provided weekly feedback. At Site 1, students also used a

laboratory simulator (LabSim TM

), a simulation tool where students could experiment with real world problems

in a virtual environment. The LabSim TM

acted as a virtual tutor guiding the students through complex and

technical configurations of secured networks. The system could challenge the student to conduct tasks that

replicated the real world providing immediate feedback after the completion of the task.

At Site 2, students were required to use a discussion forum to extend their engagement with learning activities

initiated in face-to-face classrooms. There were six discussion forums. Three of them were designed for

individual participation where students were asked to challenge or critique at least one of the questions raised

by the lectures or fellow classmates during the classes. There was a general discussion forum to discuss

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general issues arising from the course and two group-project-related discussion boards. Of the six forums only

the general discussion forum was moderated by the teaching staff. The other forums were only moderated to

check students’ progress and to prevent language flaming.

Classroom observations were conducted at both sites to record reflective notes and provide descriptions of

students’ face-to-face classroom activities and behaviours, stimulate personal views of participants in

interview, and record events such as student consultations and class participation. The classroom observations

were instrumental in the selection of the purposive sample for the student interviews.

Individual semi-structured interviews were conducted with both teachers and students. The duration of each

interview was between 30 and 45 minutes. The purpose of these interviews was to gather participants’

reflective views of their teaching and learning experiences in the learning environment. Semi-structured

interviews were preferred to structured interviews because this method is more consistent with the

ethnographic aspect of this study. Through the use of open-ended questions, semi-structured interviews allow

for the exploration of new ideas and themes, something hard to achieve with the rigorous setting of questions,

commonly found in structured interviews (Creswell 2007).

The identification of potential interviewees was based on the criterion-based selection as recommended by

Schensul and LeCompte (1999). Specifically, four teachers responsible for the delivery of the subjects were

interviewed: two at Site 1 and two at Site 2. Student participants were interviewed in the middle of the second

semester, by which point there was an opportunity to observe the students and assess the level of

engagement and participation in both face-to-face and online forums. Sample diversity was maximised by

choosing students from the following groups: those who were quiet in the classroom but very active online;

those who were active online but not in face-to-face sessions; those who were very active in both

environments; and, those who were passive face-to-face and online.

The interviews contained a range of open-ended questions that asked participants to reflect on the

multicultural, pedagogical and technological aspect of the units of study.

Additional data sources were used such as a research journal, subject outlines, profiles, content and

accreditation documents, and students’ assignments, to investigate the relationship between students’

reported perceptions of the subject and the documented learning aims, course content and student

behaviours in the course.

3.3 Data analysis - coding

Nvivo TM

, a qualitative research computer program developed by QSR TM

, facilitated the data analysis. During

the process, a large number of units of data analysis were created, managed and organised aimed to develop

codes from the multiple data sources. Codes that made explicit reference to both expected elements of the

study and to unexpected elements that represented unusual information to the researchers and/or

participants were chosen and labelled (Creswell 2007). This coding process produced a total of forty-six nodes

with direct or indirect relevance to the focus of the research.

Nodes were examined in search of themes that were meaningful in relation to the aim of the study in that they

related to students’ behaviours, attitudes, perceptions and conceptions of teaching and learning within a

blended, multicultural context. For each theme think-aloud and concept mapping processes were used to

develop conceptions of the patterns in the nodes and refine the coding process. As a result, some of the nodes

were merged and others, considered to be redundant, excluded from further analysis and representation. The

resulting thirty-six nodes were hierarchically clustered into five broad themes: 1. Adapting to a new learning

environment – cultural and social dimensions; 2. Preparing to learn; 3. Keeping pace with the learning

activities; 4. ICT integration; and, 5. Perceptions of pedagogical practices.

It is beyond the scope of this paper to discuss each of these themes, which are reported elsewhere (Arenas

2012). Instead, addressing the research questions, in this paper the focus is on the ICT integration theme,

which incorporates codes associated with the affordances of ICT in learning and the types of ICT-mediated

learning activities that appear to be a better fit with the expectations and behaviours of computer science

students than others.

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4. Discussion of the findings

In relation to educational technology, the term integration means different things in different contexts and it is

often used without precise explanations of what it might mean to different people and for different authors. In

this paper, a number of ideas and practices related to integration are explored in the context of computing

students using ICT in their learning activities and could be interpreted as any of the following: the way

different online tools and their access are presented to students, the relationship between online and face-to-

face components of a unit of study, the link between learning aims and the use of ICT, the link between

assessment tasks and the way ICT is used; and the underlying assumptions of teaching and learning tasks for

different aspects or components of a unit of study and how this relates to the way ICT is used.

Having said that, this study showed that the vast majority of student participants perceived the integration of

ICT into learning activities as useful, convenient, flexible, encouraging reflection and good for knowledge

sharing and asynchronous interactions.

These findings are consistent with those reported by similar studies (e.g. Stacey & Rice 2002), where the use of

learning technologies is seen to be a positive experience for students, enabling them to engage in learning

activities even when the parties are spread geographically, providing resources, idea sharing and a sense of a

learning community. Let us take the case of Vert (India, Site 1) for example, who had the need to urgently fly

to his country owing to family problems during the teaching period. He recognised that through the blended

learning approach, he was, while overseas ‘able to keep in contact with lecturers, tutors, catch up with

lectures, and lecture notes, materials and so on’ (Vert, India, Site 1, interview excerpt), which in a conventional

face-to-face teaching and learning program he would have found it difficult to do, given his personal situation.

But, if for Vert the use of ICT in his studies was a matter of flexibility and convenience, for Jacquie (China,

Site1), an experienced user of the tools, it was necessary for learning. She referred to the discussion forums

and blogs as ‘indispensable for learning’, to the extent that she would not have been able to conduct her

studies without them. There was evidence of this engagement and facility with these learning tools by Jacquie

through the high number of conscientious and thoughtful posts she generated during the semester term. In

her interview, she particularly emphasised the ubiquity of the tools, her confidence to express feelings, and

the wide audience she was able to reach with them:

They provide you with interactivity that traditional face-to-face methods could not provide; they are also

24/7. I think that maybe people tend to be shy in modern society. Maybe sometimes when I meet you

face-to-face I could not say some words directly or I feel tensed or something [like that], I do not want

you to know it is me who said that, but with these tools you can solve all those problems. It can also

involve large scale people, students, coordinators, lecturers and tutors that could discuss a problem

together, not just limited within a classroom (Jacquie, China, Site 1, interview excerpt).

Jacquie’s words are consistent with a cluster of research (Suler, 2004) highlighting the disinhibiting effect of

online text-based interactions and particularly the potential that this has for international students (Lanham &

Zhou, 2003) when socio-cultural factors and English language issues might otherwise inhibit them from

participating in face-to-face forums.

In terms of the affordances or action possibilities of ICT in transformative learning and teaching, the focus of

this paper; two findings are relevant to the discussion: 1) the integration and alignment of ICT-mediated

learning activities with students’ learning needs and preferences; and 2) students’ diverse responses to

different types of digital media discussed next.

4.1 Alignment of ICT-mediated learning activities

While the integration of ICT into learning activities was seen by many students to be beneficial for their

learning, many also reported difficulties with the particular array of ICT-mediated learning activities that they

experienced.

Some students reported perceptions that the ICT-mediated learning environment did not give them the option

to choose from learning tasks and that somehow they were misaligned with their preferences and needs. Take

for example the case of Eloisa (Australia, Site2), a mature student with an extensive information technology

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working experience, who expressed disappointment that the first learning task was not aligned with her

immediate preferences and needs:

I prefer not to have subjects where I have to submit a real-life situation. I do not mind if it is a theoretical

problem or an essay, a case study but the fact that we have to use a real-life case, I find it difficult but

mostly I find it pointless when I am working. My goals are to learn something other than workplace. I do

not need experience talking to people; I do not need experience in dealing with teams because it is part

of my work. It is frustrating; I rather spend the time doing the review (Eloisa, Australia, Site 2, student

interview excerpt).

This time referring to the use of discussion forums, Eloisa believed that the use of ICT as part of the online

learning activities turned out to be counterproductive. She was frustrated by the lack of alignment between

teachers’ expectations as articulated in the course’s objectives and the students’ actual participation and

collaboration in the forums. In her own words: ‘contextually, nothing happened’. In relation to student

participation, she said that the discussion forums were fragmented, disjointed and hard to follow:

The discussion forum itself is fine but not effectively used in this subject. Perhaps the way we try to use

the system is not quite right … I am not sure if it is the system by itself. I think it is the way the posts are

put in the discussion forums which are very fragmented and the way they are used … It is all being kind

of disjointed and hard to follow up (Eloisa, Australia, Site 2, student interview excerpt).

An analysis of the online discussion data confirmed Eloisa’s perceptions showing fragmented and disjointed

contributions from her peers. Many students did not appear to have skills in communicating effectively via

online discussion forums. For example, simple procedures such as copying a part of the post and pasting it

onto their own post before responding to it, was not taken into account by some students, making the

discussion difficult to follow. Another example is that names were rarely used in posts and replies, that is to

say, the social networking etiquette of initiating a post with a short greeting followed by the recipients’ name

and closing the post with the senders’ name was overlooked in a vast majority of contributions. From the given

examples, students appeared to be operationally literate when using the discussion forums but they seemed

to lack the cultural and critical skills (Goodfellow, 2004) required to use them in a meaningful way.

Eloisa’s disappointment was evident when she talked about the effective use of the tools to promote

knowledge sharing and collaborative learning:

Even though everyone is there trying to say something and you think that it would be collaborative but I

think that there is a still an element of competition perhaps. I have seen in other subjects where the

lecturer said that if you found an interesting article just posted it for everyone to share and no one

posted anything. I cannot believe that no one found an interesting article. They are not sharing articles

because they believe that should be used for their advantage. All of those things are working against the

idea of sharing information, helping each other (Eloisa, Site 2, student interview excerpt).

The student data suggests a competitive culture amongst the participants, contrasting with the teachers’

assumptions and expectations of communicating in a collaborative way. The data also suggests that the

assumptions and expectations held by the teacher (Sophia, Site 2), which she hoped were built into the

teaching and learning environment, were not understood or shared by the students. Unfortunately, not much

work was done by Sophia to make her assumptions and expectations explicitly known and understood by the

students from the start of the term, which she later recognised as ‘a big mistake’.

Another situation is the one expressed by Peter (India, Site 1), who perceived the use of blogs as problematic

to the extent that knowing that he had to contribute by posting his reflections became a burden and not

aligned to his expectations:

The way blogs were used in this subject was a kind of obstacle for me. For starters they were

compulsory. You had to do them regardless since they had marks allocated. It should be a reflection of

the subject done spontaneously and not on a weekly basis as they have been set up for this subject

(Peter, India, Site 1, student interview excerpt).

From the quote, there was a reported feeling of frustration and concern in Peter’s words regarding the way

the blogs had been implemented in the study of the subject matter. He did not think the way they were used

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was consistent with the spirit of reflection and was instead in favour of using them ‘spontaneously’, that is to

say, in response to a self-generated urgency of recording personal reflections on topics discussed in class, and

not for the sake of a mark allocated.

In summary, from the findings, the requirement to do all the learning tasks was not well received. Students

would have preferred a learning environment with a higher level of flexibility in terms of choice of content

management and the mode of learning consistent with their professional interests and learning needs (Biggs

2003; Cornelius, Gordon & Ackland 2009; Guest 2005; Marton & Booth 1997). The approach to learning should

support program designs which include a wide array of ICT-mediated learning activities but where students are

given scope to both select and pursue learning activities that align with their interests and preferences, as well

as being supported to engage with non-preferred modes.

4.2 Students’ diverse responses to different types of digital media

With reference to students’ diverse responses to different types of digital media, Norman’s (1990) work in

human computer interaction (HCI) along with Laurillard’s (2002) analytical framework, which identifies the

affordances of both communicative media and adaptive media are both useful here in discussing this finding.

Norman (1990) argues that the affordances (or action possibilities) of an environment as perceived by an actor

depend not only on the physical capabilities of the actor but also on their intentions, plans, values, beliefs and

previous experience (Norman, 1990). In other words, to examine the effectiveness of ICT in learning, there is a

need to understand the capabilities of the learning environment as perceived by teachers and students.

According to Laurillard (2002), particular technologies are understood to have particular affordances and

constraints (Laurillard, 2002), that is, a particular technology can be analysed and understood to afford some

types of usages and behaviours while constraining others.

Following this line of reasoning, this study found student and teacher participants responding differently in

their perceptions of the value of different types of digital media. Take for instance the following comment

from Georgina (Teacher, Site 1) when referring to effective interactions using the discussion forum in the

course she was responsible for:

Through discussion forums international students may only be interested in getting solutions to the

problems. Give me the answer from the collaboration point of view (Georgina, Site 1, teacher interview

excerpt).

She was concerned that, within this context, students may only be motivated to use these tools to acquire or

consume knowledge, and get answers without any concern for the process; defeating what she was aiming, for

which was a two-way collaborative and engaging learning system.

From the student perspective, Natalie (Oman, Site 2), who found the flow of the discussions irrelevant and not

engaging, the affordance of the learning technology was somehow similar. She particularly lamented the

apathy, the lack of participation of fellow students and the low quality of their arguments:

I find the discussion forums superfluous and that is why I do not do participate a lot. You post interesting

topics and no one replies with sound arguments (Natalie, Site 2, student interview excerpt).

It is worth noting that Sophia, the teacher who implemented the discussion forum in Site 2, took a proactive

approach by implementing some changes part way through the semester to improve participation and the

quality of the contributions; however, this change produced only minor improvements. Her attempt to use the

forum as a discussion place for sharing and possible meaning-making was a failure. During the interviews,

Sophia was asked what she thought was the cause of this problem. Even though she was not sure about the

roots of the problems, she mentioned a wide array of student factors that could have contributed to its

ineffectiveness; from time constraints, lack of interest and doing the minimum to get a pass, to lack of

confidence in working out the appropriate argument for posting. All these explanations point to the students.

In a more personal reflection, Sophia was prepared to accept part of the responsibility for flaws in her

implementation of the discussion forum. Firstly, she did not manage to motivate the students to use the tools

for learning purposes and, secondly, she failed to get it right from the start of the semester. Her future agenda

is to learn from this mistake. She identified strategies that she could adopt in the future, including to better

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Edilson Arenas

cater for a range of language abilities, familiarising students with discussion forums as learning environments,

and scaffolding the learning process by modelling what is expected, amongst others.

Contrary to the implementation of the discussion forums, the implementation of the LabSim TM

and its

integration into the wider unit was very successful. As mentioned above in section 3.2, at Site 1 the LabSim TM

(laboratory simulator) was a computer learning tool integrated to the NetSec subject. Its intention was to help

students experiment with real world problems typical of complex and technical configurations of secured

networks. This strategy was very well received by all Site 1 students including Manuel, who praised LabSim’s

capacity to guide him to construct real world scenarios without being actually exposed to them: ‘I found the

LabSim very useful ... for example, in my home computer I could build a virtual environment to learn routing

and networking’ (Manuel, Bangladesh, Site 1, student interview excerpt). In Bernie’s case, the LabSim TM

went

beyond the construction of virtual networking environments, enabling him to achieve deep learning:

In the beginning when I planned to do this course and realised that it had something to do with security,

I thought to get some basic expertise in security since that is my future goal in my career path. Once I

started the course, I found lots of practical things, specially the LabSim … very industry like. That inspired

me to put more effort to get a deeper understanding and to implement the knowledge I could get from

it (Bernie, Kuwait, Site 1, student interview excerpt).

Taking the teacher’s perspective, Georgina underscored the practicality of the LabSim TM

, particularly in those

circumstances where it is not possible for the students to use a live environment where they could practice

what they learn in theory:

The integration of the LabSim in the subject was really helpful because a pure technical subject like this

should have some hands on practical activities. Because we cannot give them a live environment, giving

them a simulated environment like the LabSim is as close as it can be (Georgina, Site 1, teacher

interview excerpt).

In summary, the use of communicative media (e.g. blogs and discussion forums) was perceived as problematic.

Some teachers and students were dissatisfied with the use of these technologies, specifically in relation to

supporting reflection, discussion and collaboration. The main sources of this dissatisfaction are evident in the

findings of this study. First, although social constructivist theories of learning suggest that students learn best

through collaboration, dialogical conversations and critical thinking, for some students their willingness to

learn collaboratively and to participate in the communicative environments was inhibited by a number of

socio-cultural factors such as cultural differences and attitudes towards cultural diversity. Secondly, although

these types of skills and interactions are promoted at the level of policy (e.g. through stated graduate

attributes), the fit between these types of reflective and dialogical activities and the culture of computing

science (Dijkstra et al. 1989; Lynch et al. 2001) is not necessarily good, such that computing students do not

necessarily understand the potential value of engaging in the reflective, dialogical learning activities afforded

by communicative media.

By contrast, while the use of communicative media appeared to be problematic in the context of this study,

the use of interactive and adaptive media in the form of the LabSim TM

(laboratory simulator) was a different

story. Laurillard (2002) states that interactive media support the investigating and exploring nature of the

learning experience. Adaptive media support the experimenting and practising culture that is important in

computing education. The learning activities that made use of adaptive media (i.e. through the use of the

LabSim TM

) were well received by the student participants who could see their value. Further, the sorts of

activities afforded by the adaptive media did not present challenges to the students’ socio-culturally laden

conceptions of, and skills in, learning in the same way that the communicative media did. In essence, the

findings suggest that some types of ICT-based learning activities appeared to be a better fit with the

expectations and behaviours of international computing students. While some other types appear to offer

much potential for developing desired learning outcomes and providing flexibility and accessibility, they may

need to be actively ‘sold‘ to these students.

5. Conclusion and implications

This study contributes further evidence of the complex issues associated with the effective integration of

online tools in learning. The finding that some types of ICT-based learning activities appear to be a better fit

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Electronic Journal of e-Learning Volume 13 Issue 4 2015

with the expectations and behaviours of computer science students than others makes a significant

contribution to computing education because of the implications it has for learning design. The cultural

preference found amongst computing students for adaptive rather than communicative media suggests a very

significant cultural barrier to effective engagement in online dialogical exchanges, barriers that for some

students are not easily overcome. The study sheds more light on the advantages and disadvantages of

different types of ICT media, and the need to properly integrate them in computing education scenarios. There

is a need for further exploration of the affordances of communicative and interactive media and for the

appropriate integration of such media in computing learning activities that best prepare computing students.

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