Preferences for Online Learning Platform Types: Does it Matter to Students’ Academic Performance?

Abstract

This paper examines the relationship between the types of online learning platforms used in class and student performance in Malaysia's public and private higher education institutions during the pandemic. This survey was conducted among 259 students enrolled in public and private higher education institutions in Malaysia. The findings indicate that the online learning platform used does have a statistically significant effect on user satisfaction and student resistance. Additionally, computer self-efficacy has a significant effect on satisfaction and student resistance. Next, motivation is a strong predictor of user satisfaction and student resistance. The environmental interruption was found to be a significant predictor of user satisfaction and also of student resistance. Also, this study discovered that user satisfaction could be used to predict student resistance. Finally, user satisfaction is a strong predictor of a student's academic performance, and student resistance is also a strong predictor of a student's academic performance. The findings shed light on Malaysian students' use of various online learning platforms in public and private higher education institutions. This study is the first to examine the relationship between the type of online class platform used and the academic performance of students in Malaysian public and private higher education institutions.