ISSN: 2226-6348
Open access
This study investigates the effects of the abrupt shift from face-to-face (F2F) to online distance learning (ODL) due to the COVID-19 pandemic on students at UiTM Pasir Gudang, Johor, and UNITAR International University. A quantitative approach, employing online surveys with adapted questionnaires, was used to assess students' motivation, self-efficacy, and anxiety. A comprehensive survey was conducted among students from UiTM Johor Campus Pasir Gudang and UNITAR International University to gather insights into their experiences. This study uses a quantitative method to analyze data collected using an online structured questionnaire. Two adapted research questionnaires on students ‘motivation, self-efficacy, anxiety and online learning performance with 5-likert scales will be utilized. The findings indicate positive influences of online learning on motivation, highlighting flexibility and convenience. Self-efficacy emerged as a crucial factor, contributing to higher motivation and adaptability. Students demonstrated proactive strategies to minimize anxiety, and online learning enhanced self-study abilities and academic performance. Future research should include a comparative analysis with traditional classroom learning and explore the impact across diverse demographic and cultural backgrounds. Insights gained can inform the development of effective online education programs.
Ali, J.K.M., & Bin-Hady, W. R. A. (2019). A Study of EFL Students' Attitudes, Motivation and Anxiety towards WhatsApp as a Language Learning Tool. Arab World English Journal (AWEJ) Special Issue on CALL.(5). 289-298.
Abdous, M. H. (2019). Influence of satisfaction and preparedness on online students' feelings of anxiety. The Internet and Higher Education, 41, 34-44.
Aboaye, E., Yawson, J., A., & Appiah, K., N., (2020). Covid-19 and E-learning: the challenges of Students in Tertiary Institutions.Social Education Research, 2(1).1-8.
Aguilera-Hermida, A. P. (2020). College students’ use and acceptance of emergency online learning due to COVID-19. International journal of educational research open, 1, 100011.
Alawamleh, M., et al. (2022). The effect of online learning on communication between instructors and students during Covid-19 pandemic. Asian Education and Development Studies. 11(2): 380-400.
Albelbisi, N., & Yusop, F. (2019). Factors influencing learners’ self –regulated learning skills in a massive open online course (MOOC) environment. Turkish Online Journal of Distance Education, 20, 1–16.
Archana, S., Sarika, S., Manisha, P. (2020). Adoption intention and effectiveness of digital collaboration platforms for online learning: the Indian students’ perspective. Interactive Technology and Smart Education. 18(4).493-514
Anand Shankar Raja, M., and T. K. Kallarakal (2021). COVID-19 and students’ perception about MOOCs a case of Indian higher educational institutions. Interactive Technology and Smart Education. 18(3): 450-474.
Basuony, M. A. K., et al. (2021).The factors affecting student satisfaction with online education during the COVID-19 pandemic: an empirical study of an emerging Muslim country. Journal of Islamic Marketing. 12(3): 631-648.
Baxter, G., and T. Hainey (2022). Remote learning in the context of COVID-19: reviewing the effectiveness of synchronous online delivery. Journal of Research in Innovative Teaching & Learning ahead-of-print.
Beishuizen, J., Steffens, K. and Zimmerman, B.J. (1994), “Dimensions of academic self-regulation: a conceptual framework for education”, Self-Regulation of Learning and Performance: Issues and Educational Applications, Vol. 1, pp. 33-21.
Bower, M. (2019). Technology?mediated learning theory. British Journal Education Technology, 50, 1035–1048. 10.1111/bjet.12771
Chu, R. J., & Tsai, C. (2009). Self-directed learning readiness, Internet self-efficacy and preferences towards constructivist Internet-based learning environments among higher-aged adults. Journal of Computer Assisted Learning, 25(5), 489-501
Hodges, C. B. (2008). Self-efficacy in the context of online learning environments: A review of the literature and directions for research. Performance Improvement Quarterly, 20(3-4)
Huang, X., Mayer, R. E., & Usher, E. L. (2020). Better together: Effects of four self-efficacy-building strategies on online statistical learning. Contemporary Educational Psychology, 63, 101924. https://doi.org/10.1016/j.cedpsych.2020.101924
Law, K.M.Y., Geng, S. and Li, T.M. (2019), “Student enrolment, motivation and learning performance in blended learning environment: the mediating effects of social, teaching, and cognitive presence”, Computers and Education, Vol. 136, pp. 1-12.
Mahande, R. D., Malago, J. D., Abdal, N. M., & Yasdin, Y. (2022). Factors affecting students’ performance in web-based learning during the COVID-19 pandemic. Quality Assurance in Education, 30(1), 150–165. https://doi.org/10.1108/QAE-08-2021-0130
Mamolo, L. A. (2022). Online learning and students’ mathematics motivation, self-efficacy, and anxiety in the “New Normal”. Education Research International, 2022, 1-10.
Pelucio, L., Simões, P., Dourado, M.C.N. et al. Depression and anxiety among online learning students during the COVID-19 pandemic: a cross-sectional survey in Rio de Janeiro, Brazil. BMC Psychol 10, 192 (2022). https://doi.org/10.1186/s40359-022-00897-3
Singh, A., Sharma, S., & Paliwal, M. (2020). Adoption intention and effectiveness of digital collaboration platforms for online learning: the Indian students’ perspective. Interactive Technology and Smart Education, ahead-of-print(ahead-of-print). https://doi.org/10.1108/itse-05-2020-0070
Yokoyama, S. (2019). Academic self-Efficacy and academic performance in online learning: a mini-review,. Frontiers in Psychology,9, 1-4.
Wilde, N., & Hsu, A. (2019). The influence of general self-efficacy on the interpretation of vicarious experience information within online learning. International Journal of Educational Technology in Higher Education, 16(1), 1–20.
Zhou P, Yang XL, Wang XG, Hu B, Zhang L, Zhang W, Si HR, Zhu Y, Li B, Huang CL, & Chen HD. (2020). A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature, 579(7798), 270-273.
Zhu N, Zhang D, Wang W, Li X, Yang B, Song J, Zhao X, Huang B, Shi W, Lu R, & Niu P. (2020). A novel coronavirus from patients with pneumonia in China, 2019. New England Journal of Medicine, 82, 727-733
(Azami et al., 2023)
Azami, N., Ramli, F., & Rahim, R. A. (2023). Assessing the Impact of Motivation, Self-Efficacy, and Anxiety on University Students’ Online Learning performance. International Journal of Academic Research in Progressive Education and Development, 12(4), 1631-1641.
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