Tracking Student Engagement through Data Analytics: Moodle’s Usage Shift as Face-To-Face Classes Opportunities Increase

Learning Management Systems (LMS), such as Moodle, have become increasingly important in delivering education in recent years. With the advent of technology and the outbreak of the COVID-19 pandemic, the use of LMS has taken on a new dimension, as most teaching and learning rely on their capabilities. The present study aimed to investigate the impact of the increase in the opportunities for face-to-face classes on the level of student engagement on Moodle. The study used a sequential explanatory research design to explore students’ engagement on Moodle, and data was gathered through questionnaires. Quantitative data was coded and analysed using descriptive statistics. The results showed a statistically significant increase in the mean engagement of students in Moodle between the years 2021 and 2022, with a mean increase of 6.15 hours. The study supports previous research which revealed that using educational technology, such as Moodle, can positively impact student engagement in the classroom. However, despite the widespread acceptance that higher education will not be the same post-pandemic, there is limited research to support this assumption. This study contributes to the limited literature by providing evidence on the impact of face-to-face classes on student engagement on Moodle. It highlights the need for further research to determine the sustainability of the improvement over time. Keywords: Data Analytics, Student Engagement and Moodle

Authors

Institutions

Publication Details

Journal
E-Journal of Humanities Arts and Social Sciences
Published
2025-08-18
DOI
https://doi.org/10.38159/ehass.2025691
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Tracking Student Engagement through Data Analytics: Moodle’s Usage Shift as Face-To-Face Classes Opportunities Increase

Moeketsi Simon Mosia, Kelibone Eva Mamabolo, Simon Adjei Tachie, Potso Molebatsi
E-Journal of Humanities Arts and Social Sciences
Online Learning and Analytics
article

Tracking Student Engagement through Data Analytics: Moodle’s Usage Shift as Face-To-Face Classes Opportunities Increase

Moeketsi Simon Mosia, Kelibone Eva Mamabolo, Simon Adjei Tachie, Potso Molebatsi
article en

Abstract

Learning Management Systems (LMS), such as Moodle, have become increasingly important in delivering education in recent years. With the advent of technology and the outbreak of the COVID-19 pandemic, the use of LMS has taken on a new dimension, as most teaching and learning rely on their capabilities. The present study aimed to investigate the impact of the increase in the opportunities for face-to-face classes on the level of student engagement on Moodle. The study used a sequential explanatory research design to explore students’ engagement on Moodle, and data was gathered through questionnaires. Quantitative data was coded and analysed using descriptive statistics. The results showed a statistically significant increase in the mean engagement of students in Moodle between the years 2021 and 2022, with a mean increase of 6.15 hours. The study supports previous research which revealed that using educational technology, such as Moodle, can positively impact student engagement in the classroom. However, despite the widespread acceptance that higher education will not be the same post-pandemic, there is limited research to support this assumption. This study contributes to the limited literature by providing evidence on the impact of face-to-face classes on student engagement on Moodle. It highlights the need for further research to determine the sustainability of the improvement over time. Keywords: Data Analytics, Student Engagement and Moodle

E-Journal of Humanities Arts and Social Sciences
North-West University (ZA), Sol Plaatje University (ZA)
Openalex Percentile: Top 77%
Online Learning and Analytics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Tracking Student Engagement through Data Analytics: Moodle’s Usage Shift as Face-To-Face Classes Opportunities Increase — Moeketsi Simon Mosia, Kelibone Eva Mamabolo, et al. · E-Journal of Humanities Arts and Social Sciences (2025) | TGRS Research Map | TGRS