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Developing Engagement in the Learning Management System Supported by Learning Analytics

Suraya Hamid1, Shahrul Nizam Ismail1, Muzaffar Hamzah2,*, Asad W. Malik3

1 Department of Information System, Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, Malaysia
2 Faculty of Computing and Informatics, Universiti Malaysia Sabah, Sabah, Malaysia
3 Department of Computing, School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad, Pakistan

* Corresponding Author: Muzaffar Hamzah. Email: email

(This article belongs to the Special Issue: Application of the Information Technology During the Complex Pandemic Times Especially in the Education Sector)

Computer Systems Science and Engineering 2022, 42(1), 335-350. https://doi.org/10.32604/csse.2022.021927

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.

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APA Style
Hamid, S., Ismail, S.N., Hamzah, M., Malik, A.W. (2022). Developing engagement in the learning management system supported by learning analytics. Computer Systems Science and Engineering, 42(1), 335-350. https://doi.org/10.32604/csse.2022.021927
Vancouver Style
Hamid S, Ismail SN, Hamzah M, Malik AW. Developing engagement in the learning management system supported by learning analytics. Comput Syst Sci Eng. 2022;42(1):335-350 https://doi.org/10.32604/csse.2022.021927
IEEE Style
S. Hamid, S.N. Ismail, M. Hamzah, and A.W. Malik "Developing Engagement in the Learning Management System Supported by Learning Analytics," Comput. Syst. Sci. Eng., vol. 42, no. 1, pp. 335-350. 2022. https://doi.org/10.32604/csse.2022.021927



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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