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Exploring the influential factors of university students' satisfaction with online learning during the COVID-19 pandemic in malaysia: A cross-sectional study

Author

Listed:
  • Xin Yi Yap
  • Shiney John
  • Walton Wider
  • Toong Hai Sam
  • Asokan Vasudevan

Abstract

The COVID-19 pandemic has accelerated the global adoption of online learning, highlighting the importance of online education in providing educational continuity. However, factors such as poor internet connectivity and a lack of equipment have hampered the implementation of online learning in Malaysia. It is critical to address factors that influence student satisfaction in order to ensure a successful online educational process. As a result, the purpose of this study is to determine the effects of instructors, course design, technology, and environment on university students' satisfaction with online learning during the COVID-19 epidemic in Malaysia.The study's design was cross-sectional, and the research instruments were adapted from previous research. A total of 232 university students were recruited using convenience sampling, and data was collected using an online questionnaire. The findings show that course design, technology, instructors, and the environment are the best predictors of university students' satisfaction with online learning. The study adds to our understanding of the factors influencing students' satisfaction with online learning in Malaysia's education system during the COVID-19 pandemic. The findings can help educational institutions and policymakers design and implement effective online learning courses that meet the needs of students and increase their satisfaction.

Suggested Citation

  • Xin Yi Yap & Shiney John & Walton Wider & Toong Hai Sam & Asokan Vasudevan, 2023. "Exploring the influential factors of university students' satisfaction with online learning during the COVID-19 pandemic in malaysia: A cross-sectional study," Humanities and Social Sciences Letters, Conscientia Beam, vol. 11(4), pages 427-439.
  • Handle: RePEc:pkp:hassle:v:11:y:2023:i:4:p:427-439:id:3563
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