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Exploring Students Engagement Towards the Learning Management System (LMS) Using Learning Analytics

Shahrul Nizam Ismail1, Suraya Hamid1,*, Muneer Ahmad1, A. Alaboudi2, Nz Jhanjhi3

1 Department of Information Systems, Faculty of Computer Science & Information Technology, University Malaya, Kuala Lumpur, 50603, Malaysia
2 Department of Information systems, College of Computer and Information Sciences, Shaqra University, Saudi Arabia
3 School of Computer Science and Engineering, SCE, Taylor’s University, Subang Jaya, 47500, Malaysia

* Corresponding Author: Suraya Hamid. Email: email

Computer Systems Science and Engineering 2021, 37(1), 73-87. https://doi.org/10.32604/csse.2021.015261

Abstract

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.

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Cite This Article

S. Nizam Ismail, S. Hamid, M. Ahmad, A. Alaboudi and N. Jhanjhi, "Exploring students engagement towards the learning management system (lms) using learning analytics," Computer Systems Science and Engineering, vol. 37, no.1, pp. 73–87, 2021.

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cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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