Abstract

Objectives The purpose of this study is to empirically analyze the relationship between learning engagement and student satisfaction in a contactless online class environment. Methods The study employed regression analysis and text-based network analysis as research methods. Regression analysis was used to quantitatively measure the direct impact of learning engagement factors on stu-dent satisfaction. Text-based network analysis was used to explore the indirect effects on satisfaction by identify-ing information flow and centrality within the learning community. Results The analysis revealed a positive correlation between course completion rates and the frequency of the keyword ‘hard work’ in lecture comments, as well as the number of completed quiz submissions. However, the number of lectures and viewing time did not have a significant impact. The network analysis indicated that key-words such as ‘fun,’ ‘informative,’ ‘quiz,’ and ‘completion’ were central, suggesting that learner interaction is a crucial factor in satisfaction. Conclusions In conclusion, this study suggests that promoting interaction among learners and encouraging their active participation in course design can improve the efficiency and satisfaction of virtual classes. The empirical data provided here is expected to contribute to the improvement of educational technology.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call