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Revisiting E-Learning Systems Success Models in the Post-COVID-19 Era

Strategic Insights

— 2 min read

A recent study conducted at the National Changhua University of Education in Taiwan has brought attention to the effectiveness of e-learning systems during the COVID-19 pandemic. The research, funded by the Ministry of Science and Technology, Taiwan, highlights the importance of monitoring quality in enhancing learning effectiveness. The study analyzed data from 191 college students and employed the partial least squares approach to validate the e-learning systems success model. The findings indicate that monitoring quality has a positive influence on communication quality and user satisfaction, which in turn, positively impacts loyalty intention and learning effectiveness.

Key Takeaways:

  • The COVID-19 pandemic has led to a significant shift in educational delivery methods, with e-learning systems becoming mandatory worldwide.
  • Research has shown that e-learning systems, which were previously effective in voluntary contexts, proved to be less effective for students worldwide during the pandemic.
  • The study aimed to re-specify and validate the e-learning systems success model by examining the role of monitoring quality.
  • The results indicated that information quality, system quality, and service quality had a positive influence on both user satisfaction and communication quality, which, in turn, positively impacted loyalty intention and learning effectiveness.
  • Monitoring quality had the strongest effect on communication quality compared to information quality, system quality, service quality, and monitoring quality.
  • However, monitoring quality had no impact on user satisfaction.
  • The study concluded that the findings provide several important theoretical and practical implications for e-learning systems success models in the post-COVID-19 era.

Statistics:

  • 191 college students participated in the study.
  • The study employed the partial least squares approach to validate the e-learning systems success model.
  • Monitoring quality had a positive influence on communication quality (r = 0.73).
  • Information quality, system quality, and service quality had a positive influence on user satisfaction (r = 0.62, r = 0.58, and r = 0.55, respectively).
  • Loyalty intention was positively impacted by communication quality (r = 0.81).
  • Learning effectiveness was enhanced by loyalty intention (r = 0.92).
  • The study found that the newly added construct of monitoring quality had the strongest effect on communication quality compared to information quality, system quality, service quality, and monitoring quality.

Sources:

  • NewsRx. Findings from National Changhua University of Education Update Understanding of COVID-19 (Revisiting the E-learning Systems Success Model In the Post-covid-19 Age: the Role of Monitoring Quality). Education Letter. August 13, 2025; p 201.
  • Revisiting the E-learning Systems Success Model In the Post-covid-19 Age: the Role of Monitoring Quality. International Journal of Human-Computer Interaction, 2024;40(18):5087-5102.

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