Sleep Behaviour and Online Engagement in Learning Management System at Higher Education during COVID-19 Pandemic

Abdullah, A.

During COVID-19 pandemic, many higher education institutions have shifted their teaching and learning operation towards full online learning. As a result, using learning management system (LMS) become more intensive, crucial and compulsory. The issue is, there is lack of research to prove that online learning engagement may cause sleep disorder among student and instructor in higher education. Therefore, this paper aim to investigate user engagement in LMS and it associate with the risk of sleep disorder. This study adopts educational data mining (EDM) to extract the data from Moodle LMS log to discover the potential insights with business intelligence software tools. The outlier's detection using box-plot visualization manage to determine the indicators of sleep disorder behavior pattern. The findings from this study show that there are some student and instructor that potential to have experience sleep disorder. This novel finding is critical for institution to respond by developing a policy and risk mitigation strategy associated with unhealthy sleep behavior in online learning engagement. © 2021 IEEE.