Uncovered user engagement pattern in LMS During COVID-19 pandemic using temporal visualization matrix
Movement Controlled Order (MCO) during COVID-19 pandemic causing global higher education to intensify the use of online learning to keep student engage with their study. While many institutions of higher learning plan for blended learning approach instead of full online, this sudden shift to full on...
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Institute of Electrical and Electronics Engineers Inc.
2020
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Online Access: | http://umpir.ump.edu.my/id/eprint/37548/1/Uncovered%20user%20engagement%20pattern%20in%20lms%20during%20covid-19%20pandemic%20using%20temporal%20visualization%20matrix.pdf http://umpir.ump.edu.my/id/eprint/37548/2/Uncovered%20user%20engagement%20pattern%20in%20LMS%20During%20COVID_ABS.pdf http://umpir.ump.edu.my/id/eprint/37548/ https://doi.org/10.1109/ETCCE51779.2020.9350899 |
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my.ump.umpir.375482023-08-24T01:27:24Z http://umpir.ump.edu.my/id/eprint/37548/ Uncovered user engagement pattern in LMS During COVID-19 pandemic using temporal visualization matrix Aziman, Abdullah Adzhar, Kamaludin Awanis, Romli QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) Movement Controlled Order (MCO) during COVID-19 pandemic causing global higher education to intensify the use of online learning to keep student engage with their study. While many institutions of higher learning plan for blended learning approach instead of full online, this sudden shift to full online causing bottleneck performance of Learning Management System (LMS). Therefore, the aim of this paper is to study the pattern of user engagement in LMS during pandemic. The case used in this study is LMS from Universiti Malaysia Pahang. Quantitative method has been chosen as a research method in this study where user interaction data from the LMS log is been used for engagement analysis. By combining the context of user engagement, we create temporal visualization matrix to gain the insight of user engagement pattern in LMS. Our findings show that both student and instructor are still highly engaged in LMS even after midnight. This insight is useful and significant for the institution (1) to deploy effective Quaity of Service (QoS) of LMS operation and (2) to design a policies related to quality assurance during pandemic by addressing the wellbeing aspect of student and instructor. Institute of Electrical and Electronics Engineers Inc. 2020-12-21 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/37548/1/Uncovered%20user%20engagement%20pattern%20in%20lms%20during%20covid-19%20pandemic%20using%20temporal%20visualization%20matrix.pdf pdf en http://umpir.ump.edu.my/id/eprint/37548/2/Uncovered%20user%20engagement%20pattern%20in%20LMS%20During%20COVID_ABS.pdf Aziman, Abdullah and Adzhar, Kamaludin and Awanis, Romli (2020) Uncovered user engagement pattern in LMS During COVID-19 pandemic using temporal visualization matrix. In: ETCCE 2020 - International Conference on Emerging Technology in Computing, Communication and Electronics, 21-22 December 2020 , Virtual, Dhaka. pp. 1-5. (9350899). ISBN 978-166541962-8 https://doi.org/10.1109/ETCCE51779.2020.9350899 |
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QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) Aziman, Abdullah Adzhar, Kamaludin Awanis, Romli Uncovered user engagement pattern in LMS During COVID-19 pandemic using temporal visualization matrix |
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Movement Controlled Order (MCO) during COVID-19 pandemic causing global higher education to intensify the use of online learning to keep student engage with their study. While many institutions of higher learning plan for blended learning approach instead of full online, this sudden shift to full online causing bottleneck performance of Learning Management System (LMS). Therefore, the aim of this paper is to study the pattern of user engagement in LMS during pandemic. The case used in this study is LMS from Universiti Malaysia Pahang. Quantitative method has been chosen as a research method in this study where user interaction data from the LMS log is been used for engagement analysis. By combining the context of user engagement, we create temporal visualization matrix to gain the insight of user engagement pattern in LMS. Our findings show that both student and instructor are still highly engaged in LMS even after midnight. This insight is useful and significant for the institution (1) to deploy effective Quaity of Service (QoS) of LMS operation and (2) to design a policies related to quality assurance during pandemic by addressing the wellbeing aspect of student and instructor. |
format |
Conference or Workshop Item |
author |
Aziman, Abdullah Adzhar, Kamaludin Awanis, Romli |
author_facet |
Aziman, Abdullah Adzhar, Kamaludin Awanis, Romli |
author_sort |
Aziman, Abdullah |
title |
Uncovered user engagement pattern in LMS During COVID-19 pandemic using temporal visualization matrix |
title_short |
Uncovered user engagement pattern in LMS During COVID-19 pandemic using temporal visualization matrix |
title_full |
Uncovered user engagement pattern in LMS During COVID-19 pandemic using temporal visualization matrix |
title_fullStr |
Uncovered user engagement pattern in LMS During COVID-19 pandemic using temporal visualization matrix |
title_full_unstemmed |
Uncovered user engagement pattern in LMS During COVID-19 pandemic using temporal visualization matrix |
title_sort |
uncovered user engagement pattern in lms during covid-19 pandemic using temporal visualization matrix |
publisher |
Institute of Electrical and Electronics Engineers Inc. |
publishDate |
2020 |
url |
http://umpir.ump.edu.my/id/eprint/37548/1/Uncovered%20user%20engagement%20pattern%20in%20lms%20during%20covid-19%20pandemic%20using%20temporal%20visualization%20matrix.pdf http://umpir.ump.edu.my/id/eprint/37548/2/Uncovered%20user%20engagement%20pattern%20in%20LMS%20During%20COVID_ABS.pdf http://umpir.ump.edu.my/id/eprint/37548/ https://doi.org/10.1109/ETCCE51779.2020.9350899 |
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