Influences of Online Classes on Chinese Students’ Satisfaction Amid Covid -19

Abstract

The purpose of this study is to determine the characteristics that influence student satisfaction with online learning during the COVID-19 epidemic and the linkages among them. The research was a quantitative in nature and the data was collected through an online survey of 166 respondents who were taking an art and design course at universities in Guilin, China. The offered hypotheses were examined using structural equation modelling. Partial least squares (PLS) were used to validate the measurements and hypotheses, while confirmatory factor analysis (CFA) was utilized to validate both. The empirical findings indicate that student satisfaction with online learning is not primarily influenced by the calibre of the teachers. The findings also show that the expectations of the students and the course's design have a big impact on how satisfied students are with online learning. Teachers and school administrators can use the survey results as a guide and a point of reference when making choices.