Exploring students engagement towards the Learning Management System (LMS) using learning analytics

• Main Authors: Ismail, Shahrul Nizam, Hamid, Suraya, Ahmad, Muneer, Alaboudi, A., Jhanjhi, Nz
• Format: Article
• Published: Tech Science Press 2021
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.um.edu.my/27884/
• Institution: Universiti Malaya

Learning analytics is a rapidly evolving research discipline that uses the insights generated from data analysis to support learners as well as optimize both the learning process and environment. This paper studied students' engagement level of the Learning Management System (LMS) via a learning analytics tool, student's approach in managing their studies and possible learning analytic methods to analyze student data. Moreover, extensive systematic literature review (SLR) was employed for the selection, sorting and exclusion of articles from diverse renowned sources. The findings show that most of the engagement in LMS are driven by educators. Additionally, we have discussed the factors in LMS, causes of low engagement and ways of increasing engagement factors via the Learning Analytics approach. Nevertheless, apart from recognizing the Learning Analytics approach as being a successful method and technique for analyzing the LMS data, this research further highlighted the possibility of merging the learning analytics technique with the LMS engagement in every institution as being a direction for future research.