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

Ismail, Shahrul Nizam and Hamid, Suraya and Ahmad, Muneer and Alaboudi, A. and Jhanjhi, Nz (2021) Exploring students engagement towards the Learning Management System (LMS) using learning analytics. Computer Systems Science and Engineering, 37 (1). pp. 73-87. ISSN 0267-6192, DOI https://doi.org/10.32604/csse.2021.015261.

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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.

Item Type: Article
Funders: Universiti Malaya [BKS083-2017], Fundamental Research Grant Scheme (FRGS) under the Ministry of Education Malaysia, Higher Education [FP112-2018A]
Uncontrolled Keywords: Learning analytics; Student engagement; Learning management system; Systematic literature review
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Computer Science & Information Technology
Depositing User: Ms Zaharah Ramly
Date Deposited: 13 Apr 2022 02:20
Last Modified: 13 Apr 2022 02:20
URI: http://eprints.um.edu.my/id/eprint/27884

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