Perception and Intention to use E-learning from Students' Point of View- An Evidence from Malaysia Local University

Perception and Intention to use E-learning from Students' Point of View- An Evidence from Malaysia Local University

Authors

  • Salina Mad Universiti Teknologi MARA, Perak Branch, Tapah Campus
  • Nor Alwani Omar Universiti Teknologi MARA, Perak Branch, Tapah Campus
  • Ezzah Suraya Sarudin Universiti Teknologi MARA, Perak Branch, Tapah Campus
  • Nurul Hidayah Aziz Universiti Teknologi MARA, Perak Branch, Tapah Campus

DOI:

https://doi.org/10.24191/jcrinn.v5i2.163

Keywords:

e-learning, Technology Acceptance Model (TAM), perceived usefulness, perceived ease of use

Abstract

Education landscape has changed dramatically due to Covid19 pandemic as in many country, conventional or face-to-face teaching and learning is no longer an option to avoid the spread of a virus.  E-learning become one of the best alternative to ensure education process could continue because experts believe world could only recover from this crisis in another two years. This paper will delve into students' perspective about e-learning and their willingness to use e-learning. Technology Acceptance Model (TAM) was used to outlined this study. Majority of the student have an idea about what is e-learning. They also agree that e-learning able to accomplished learning and assessment proses as well as enable the interaction among students and student with instructor. Result also indicate, majority of the students have positive opinion towards e-learning nevertheless they prefer e-learning to be embedded in their education process (hybrid learning) as they are still prefer to have some level of face-to-face learning. However, this result cannot be used to generalize the opinion of all university students as diploma student tend to feel more comfortable to have face-to-face interaction with lecturer because they are in the transition period from school to university.

Downloads

Download data is not yet available.

References

Ajzen, I. & Fishbein, M. (2000). Attitudes and the attitude-behavior relation: Reasoned and automatic processes. In W. Stroebe & M. Hewstone (Eds.), European review of social psychology (pp. 1-33). John Wiley & Sons.

Cheung, R., & Vogel, D. (2013). Predicting User Acceptance of Collaborative Technologies: An Extension of the Technology Acceptance Model for E-Model. Computers & Education, 63, 160-175.

Clark, R.C., & Mayer, R.E. (2016). E-learning and the science of instruction: Proven guidelines for consumers and designers of multimedia learning. John Wiley & Sons.

Conklina, S., Oyarzun, B., & Barreto, D. (2017). Blended Synchonous Learning Environment: Student Perspectives. Research on Education and Media, 9(1), 17-23.

Dabbagh, N., Fake, H., & Zhang, H. (2019). Student Perspectives of Technology Use for Learning in Higher Education. Revista Iberoamericana de Education a Distancia, 22(1), 127-152.

Davis, F. D., Bagozzi, R. P. & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003. http://www.jstor.org/pss/2632151

Fathema, N., Shannon, D., & Ross, M. (2015). Expanding the Technology Acceptance Model (TAM) to Examine Faculty Use of Learning Management Systems (LMSs) in Higher Education Institutions. MERLOT Journal of Online Learning and Teaching, 11(2), 210-232.

Horzum, M. B. (2015). Interaction, structure, Social Presence, and Satisfaction in Online Learning. Eurasia Journal of Mathematics, Science & Technology Education, 11(3), 505-512.

Lai, P. (2017). The Literature Review of Technology Adoption Models and Theories for The Novelty Technology. Joirnel of Information Systems and Technology Management, 14(1), 21-38.

Lee, C., & Witta, L. (2001). Online students' perceived self-efficacy: Does it change? Paper presented at the national convention of the Association for Educational Communications and Technology, Atlanta, GA.

Liu, S.-H., Liao, H.-L., & Peng, C.-J. (2005). Applying the Technology Acceptance Model and Flow Theory to Online E-Learning Users' Acceptance Behavior. Issues in Information Systems, VI(2), 175-181.

Lowe, T., & Mestel, B. a. (2016). Perceptions of Online Tutorials for Distance Learning in Mathematics and Computing. Research in Learning Technology. 24. Article no. 30630.

Mamattah, R. S. (2016). Students’ Perceptions of E-Learning.

Maslim, M. (21-24 May 2007). Technology Acceptance Model and E-Learning. 12th International Conference on Education (pp. 1-10). Brunei: Sultan Hassanal Bolkiah Institute of Education.

Masrom, M. (2007). Technology acceptance model and e-learning. In: 12th International Conference on Education, 21-24 May 2007, Sultan Hassanal Bolkiah Institute of Education, Universiti Brunei Darussalam http://eprints.utm.my/5482/1/MaslinMasrom2006_Techn.pdf

Meléndez, A. P., Obra, A. R., & Moreno, A. G. (2013). Perceived Playfulness, Gender Differences and Technology Acceptance Model in a blended Learning Scenario. Computers & Education, 63, 306-317.

Park, S. Y., Nam, M. W., & Cha, S.-B. (2012). University Students' Behavioral Intention to Use Mobile Learning: Evaluating the Technology Acceptance Model. British Journal of Education Technology, 43(4), 592-605.

Saadé, R., & Bahli, B. (2005). The Inpact of Cognitive Absorption on Perceived Usefulness and Perceived Ease of Use in On-Line Learning: An Extension of the Technology Acceptance Model. Information & Management, 42, 317-327.

Said, A., & Syarif, E. (2016). The Development of Online Tutorial Program Design Using Problem-Based Learning in Open Distance Learning System. Journal of Education and Practice, 7(18), 222-229.

Tagoe, M. (2012). Students' perceptions on incorporating e-learning into teaching and learning at the University of Ghana. International Journal of Education and Development using Information and Communication Technology (IJEDICT), 2012, Vol. 8, Issue 1, pp. 91-103.

Downloads

Published

2020-04-01

How to Cite

Mad, S., Omar, N. A. ., Sarudin, E. S., & Aziz, N. H. (2020). Perception and Intention to use E-learning from Students’ Point of View- An Evidence from Malaysia Local University. Journal of Computing Research and Innovation, 5(2), 11–20. https://doi.org/10.24191/jcrinn.v5i2.163

Issue

Section

General Computing

Most read articles by the same author(s)

Loading...