Developing engagement in the learning management system supported by learning analytics
Document Type
Article
Publication Date
1-1-2022
Abstract
Learning analytics is an emerging technique of analysing student participation and engagement. The recent COVID-19 pandemic has significantly increased the role of learning management systems (LMSs). LMSs previously only complemented face-to-face teaching, something which has not been possible between 2019 to 2020. To date, the existing body of literature on LMSs has not analysed learning in the context of the pandemic, where an LMS serves as the only interface between students and instructors. Consequently, productive results will remain elusive if the key factors that contribute towards engaging students in learning are not first identified. Therefore, this study aimed to perform an extensive literature review with which to design and develop a student engagement model for holistic involvement in an LMS. The required data was collected from an LMS that is currently utilised by a local Malaysian university. The model was validated by a panel of experts as well as discussions with students. It is our hope that the result of this study will help other institutions of higher learning determine factors of low engagement in their respective LMSs.
Keywords
Engagement analysis, Learning analytics, Learning management, System, Student engagement
Divisions
fsktm
Funders
Universiti Malaya, Bantuan Khas Penyelidikan [Grant No: BKS083-2017]
Publication Title
Computer Systems Science and Engineering
Volume
42
Issue
1
Publisher
Tech Science Press
Publisher Location
871 CORONADO CENTER DR, SUTE 200, HENDERSON, NV 89052 USA