Towards Connectivism: Exploring Student Use of Online Learning Management Systems during the Covid-19 Pandemic

Authors

DOI:

https://doi.org/10.24059/olj.v28i2.4047

Keywords:

Learning management system, online learning platform, online learning, pandemic, connectivism theory, academic performance

Abstract

The COVID-19 pandemic has had a profound global impact on students, necessitating a shift towards fully remote e-learning via digital learning management systems (LMS). Despite this significant shift, there is a paucity of research exploring how students of varying academic performance levels engage with e-learning resources. This study addresses this gap by leveraging self-regulated learning theory and connectivism theory to analyze 129,567 activity logs from an Australian public research university. These logs encompass the online learning activities of 313 students and provide insights into their utilization of course files, discussion forums, gradebook, and online quizzes. Our analysis reveals significant differences in how students of varying academic performance levels engage with these resources. We found that higher-performing students tend to view course files, view and create forum posts, and access online quizzes more frequently, suggesting a positive correlation between active engagement with these resources and academic performance. However, the frequency of gradebook views did not significantly differ among students of different performance levels, indicating that grade tracking may not be a strong determinant of academic success. These findings underscore the importance of active engagement with online resources in academic success and provide valuable insights for educators and institutions in designing online courses and strategies to support student learning. The study also highlights the need for further research to understand the nuances of student engagement with e-learning resources. The implications of these findings extend beyond the pandemic, contributing to the broader discourse on e-learning and academic performance.

Author Biographies

Dapeng Liu, Baylor University

Dapeng Liu is an assistant professor in the Department of Information Systems & Business Analytics at Baylor University. He has published in leading journals including the Journal of the Association for Information Systems, European Journal of Information Systems, Decision Support Systems and International Journal of Information Management. His research interests include business intelligence, AI ethics, information security and privacy, and e-government adoption. He has served as the e-government mini-track chair for the Americas Conference on Information Systems and the Hawaii International Conference on System Sciences. His research has been funded by Microsoft Azure and ResTech Cloud Grants.

Lemuria Carter, UNSW, Sydney

Lemuria Carter is a professor in the School of Information Systems and Technology Management at the University of New South Wales. Her research interests include technology adoption, e-government and cyber security. She has published in several top-tier journals including the Journal of the Association for Information Systems, European Journal of Information Systems, Journal of Strategic Information Systems, Information Systems Journal and Decision Support Systems. She has served as the e-government track and mini-track chair for the Americas Conference on Information Systems and the Hawaii International Conference on System Sciences, respectively. Her research has been funded by the Institute for Homeland Security Solutions and the Southeastern Transportation Institute in the United States.

Jiesen Lin, UNSW, Sydney

His research focuses on privacy and the adoption of information technology.

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Published

2024-06-01

How to Cite

Liu, D., Carter, L., & Lin, J. (2024). Towards Connectivism: Exploring Student Use of Online Learning Management Systems during the Covid-19 Pandemic. Online Learning, 28(2). https://doi.org/10.24059/olj.v28i2.4047