Examining drivers affecting E-learning system quality during COVID-19

Abstract

Due to COVID-19 global crisis, schools and universities worldwide were closed to contain its spread (UNESCO, 2020). E-learning systems have been massively adopted to facilitate the continuity of education. Accordingly, investigating the key determinants of e-learning systems success is vital to deliver effective education service to mitigate the negative lockdown impacts. Seventeen hypotheses were formulated. The findings showed positive relationships among system quality, system features, content quality, and perceived usefulness. Additionally, system features, computer experience, self-efficacy, and college support positively affect the perceived ease of use. Perceived enjoyment has strong influences on perceived usefulness, perceived ease of use, and attitude towards the e-learning system. Furthermore, attitude towards e-learning was proved to be positively influenced by perceived usefulness, perceived ease of use, perceived enjoyment, instructor quality, and college support. Finally, attitude towards e-learning has a strong effect on behavioural intention to use the e-learning system. Conclusion and practical implications were developed.

Keywords:

• E-learning
• COVID-19
• technology acceptance model
• success model
• technology in education
• attitude towards e-learning
• quality of e-learning

Disclosure statement

No potential conflict of interest was reported by the author(s).