Managing E-learning

An Insight from Moodle Course Logs

DOI

10.2991/assehr.k.210424.108How to use a DOI?

Keywords

view, update, moodle, log data

Abstract

This study analyses the behaviour of students and lecturers activities in an e-learning using Moodle course logs and pivot table. Moodle course logs are mined and subsequently are integrated to be data pivoting toward visualization. The number of “view” and “update” activities are extracted from Moodle course logs and are visualized into meaningful insight of e-learning evaluation. There is high correlation between lectures and student in “update” activity. Its similarity in activity trends between lecturers and students provides an opportunity to build a preliminary hypothesis that lecturer activity will affect student activity in an asynchronous e-learning model. Meanwhile, the correlation value between “views” and “update” activities was low within lecturer activities. Several rationalities are discussed in this study. The most performed activity by lecturers is File while the Lesson is the least activity. The future work of research is that “views” and “update” are an indicators of student and lecturer participation where its amount have been said to be an important predictor of engagement and success in running e-learning.

Copyright

© 2021, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Saiful Ghozi
AU  - Riklan Kango
AU  - Ramli
PY  - 2021
DA  - 2021/04/26
TI  - Managing E-learning
BT  - Proceedings of the International Conference on Applied Science and Technology on Social Science (ICAST-SS 2020)
PB  - Atlantis Press
SP  - 551
EP  - 555
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.210424.108
DO  - 10.2991/assehr.k.210424.108
ID  - Ghozi2021
ER  -