doi: 10.18178/ijiet.2023.13.9.1950
Factors for Predicting Success in e-Learning System Management during the COVID-19 Pandemic: The Case Study of Suranaree University of Technology
- Manuscript receivedJanuary 20, 2023
- revisedFebruary 25, 2023
- acceptedMarch 3, 2023
Abstract
The COVID-19 pandemic widely affected many sectors including education. Suranaree University of Technology, as the first autonomous university of technology in Thailand, had improved online education and applied the university e-learning systems to cope with the pandemic situation. Thus, this research aimed to 1) study the levels of the related factors and the success of the e-learning systems in disruptive online education, 2) study the correlation between the related factors and the success of the e-learning systems in disruptive online education, and 3) study the factors predicting the success of the e-learning systems in disruptive online education. The samples were 405 students, instructors, and staff. Data were collected by using a questionnaire. The results showed that Organizational Factor, Instructor Factor, User Support Factor, Student Factor, and Teaching and Learning Management Factor were at a high level, whereas the System Performance Factor, and Technology and Infrastructure Factor were at a moderate level. Moreover, all factors were significantly correlated to success at a high level (r = 0.77, p < 0.01). Finally, in predicting the success of the e-learning system, five factors namely, Instructor Factor, User Support Factor, System Performance Factor, Organizational Factor, and Student Factor were able to predict success for 60%, and the Instructor Factor only was able to predict success for 49%.
Keywords
- E-learning
- online education
- success factors
- COVID-19 pandemic
How to Cite
Sutthinee Srisawat, Sorachai Kamollimsakul, Thawatphong Phithak, Saranya Chularee, Jintana Tapin, Amornthep Thepvichit, Akkhadesh Sosongchan, and Apisara Aorsuwan, "Factors for Predicting Success in e-Learning System Management during the COVID-19 Pandemic: The Case Study of Suranaree University of Technology," International Journal of Information and Education Technology, vol. 13, no. 9, pp. 1462-1468, 2023. https://doi.org/10.18178/ijiet.2023.13.9.1950
Copyright & License
Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).