Factors for Predicting Success in e-Learning System Management during the COVID-19 Pandemic: The Case Study of Suranaree University of Technology

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%.