Running Head: METHODOLOGY AND RATIONALE 1
METHODOLOGY AND RATIONALE
Lennis Yesenia Ortega
Professor Stumme, April
INDS 400
February 18, 2021
METHODOLOGY AND RATIONALE 2
Research Question
The research question defines how the researcher will rephrase the study's variables. This
question gives a framework on what questions the study being conducted will answer. In other
words, research questions give research guidelines since as the research answers those questions,
the study is completed (Thabane et al., 2009). The study will aim to understand the effects of
Artificial intelligence and Machine learning in improving teaching and learning in American
Universities and artificial colleges. Therefore, the research question is, is there any connection
between the adoption of artificial intelligence and machine learning and enhancement of teaching
and learning experiences of students in American colleges for the past three years? The study's
independent variable will be growth in applying artificial intelligence and machine learning in
learning institutions. Popenici & Kerr (2017) noted that these technologies' adoption is the
measuring variable that affects the teaching and learning exercise in those institutions. Therefore,
the dependent variable will be an enhancement of learning and teaching experience in the
learning institutions
Methodology
Therefore, the sample will be learners and trainers from various institutions that have
utilized these technologies for the last three years. The data will be collected through online
questionnaires as a primary source of data. The individuals willing to be [art of the study will fill
the available questionnaires and submit them online. This will help to reduce the cost of traveling
and printing hard copy questionnaires. The study will also utilize a literature review as the
secondary source of the research data. The data will be analyzed using data analysis tools and
software to give a visual expression, interpreting the results as per the study requirements. Ma &
Siau (2018) noted that the results are expected to indicate that as artificial intelligence and
METHODOLOGY AND RATIONALE 3
machine learning technologies are being adopted in American institutions, teaching and learning
are more efficient and effective.
Rationale
This study explores the impact of artificial intelligence and machine learning in the
teaching and learning experience in American Universities and artificial intelligence colleges.
This is because artificial intelligence has a great potential that can cause rational changes in
education when utilized. Artificial intelligence and machine learning are emerging technologies
that are gaining fame in various sectors. These technologies improve the computing experience,
enhancing multiple operations in multiple sectors, including the education sector. Understanding
the application of artificial intelligence in learning institutions will help establish the need for
more research. According to Popenici & Kerr (2017), artificial intelligence and machine learning
drive dramatic changes in the education sector. The technology is causing various changes in
how teaching services are being admitted to higher education institutions.
This study will help to define how technology can be utilized to improve learning
outcomes. Traditional teaching and learning processes are slowly getting updated and effective.
For instance, many schools have been closed, with different states installing lockdown as
protective measures during the ongoing pandemic. This had limited physical students and
teachers' interaction, posing a challenge on the traditional based education. Therefore, promotion
and advancing the digital era even in teaching is critical.
Artificial intelligence refers to the production of smart devices that are designed to
function with human intelligence. Yang & Evans (2019) argued that artificial intelligence could
be used in the education sector to solve the previously required human mind. Machine learning is
METHODOLOGY AND RATIONALE 4
an artificial intelligence subset that refers to finding a computer with data and exposing it in
different environments to adapt and automatically preserve massive unstructured datasets.
Artificial intelligence can personalize education since the smart device can effectively read
students' specific needs and minister. Ma & Siau (2018) noted that artificial intelligence could
enhance education by producing intelligent content. This includes digital lessons, learning
content updates, and information visualization (Sit et al., 2020). It can offer tutoring services that
suit individual learners.
In conclusion, the dependent variable for this study is to evaluate the learning outcome in
various institutions. This is because the process is highly dependent on nature at which education
ministers. Incorporating artificial intelligence and machine learning technologies can help to
enhance learning outcomes. Therefore, this study is worthy of funding since it will be essential to
establish more artificial and machine learning technologies in the education sector.
METHODOLOGY AND RATIONALE 5
References
Ma, Y., & Siau, K. L. (2018). Artificial intelligence impacts higher education. MWAIS
Proceedings, 42(5).
Popenici, S. A., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and
learning in higher education. Research and Practice in Technology Enhanced
Learning, 12(1), 1-13.
Sit, C., Srinivasan, R., Amlani, A., Muthuswamy, K., Azam, A., Monzon, L., & Poon, D. S.
(2020). Attitudes and perceptions of UK medical students towards artificial intelligence
and radiology: a multicentre survey. Insights into Imaging, 11(1), 14.
Thabane, L., Thomas, T., Ye, C., & Paul, J. (2009). Posing the research question: not so
simple. Canadian Journal of Anesthesia/Journal canadien d'anesthésie, 56(1), 71-79.
Yang, S., & Evans, C. (2019, November). Opportunities and challenges in using AI chatbots in
higher education. In Proceedings of the 2019 3rd International Conference on Education
and E-Learning (pp. 79-83).
Powered by TCPDF (www.tcpdf.org)
