Examining the determinants of the intention of using E-learning among university students in China During COVID-19.

Abstract

The main objective of the study is to examine the intention of using e-learning among university students in China. factors such as computer experience, personal innovativeness, computer self-efficacy, and performance expectations have an impact on the intention of using e-learning during COVID-19. The PLS-SEM-SEMroach is used for analysing research models of complex nature, where there are numerous observed and unobserved variables in the model. The response rate came out at 77%, which is considered more than sufficient for further analysis. An empirical study based on e-learning was conducted in a developing country. The researcher discovered that CSE has a significant impact on users' acceptance of e-learning. According to earlier studies, the experience of using a computer is a significant predictor of attitudes toward using computers. E-learning systems are used by individuals when it is perceived that they will improve their effectiveness and productivity in learning education during COVID-19. These beliefs have an impact on their intentions to use e-learning systems. As the high rate of attrition has become a key issue in e-learning, the main concern related to online teaching and learning is motivation. Their relationship results in improved use of the e-learning system. A computer self-efficacy construct was adapted in a study based on a specific implementation of e-learning. Computer self-efficacy was defined as the level with which people feel confident in their skills for using online technology for learning and the achievement of course-related tasks. The study has highlighted an important issue related to personal innovativeness, computer experience, and personal self-efficacy among students in China during COVID-19.