The Impact of Learning Management Systems (LMS) Based on Learning Analytics on the Academic Performance of Syiah Kuala University Students

This study investigates the impact of Learning Management Systems (LMS) based on learning analytics on the academic performance of students in the Department of Physics Education at Universitas Syiah Kuala. Data were collected from 47 students, focusing on several indicators of LMS usage, including material access, task completion, and quiz participation. The analysis, as presented in Table 1, reveals significant positive correlations between LMS utilization and student GPA. Specifically, Pearson, Spearman, and Kendall correlation coefficients demonstrate strong associations (r 0.8, p 0.001) between the hours spent on the LMS and academic performance. Students frequently accessed learning materials more than completing assignments and quizzes, benefiting from the flexibility to study at their own pace. This adaptability is especially advantageous for students balancing academic and personal commitments, contributing to reduced stress levels and improved academic focus. The findings suggest that LMS utilization significantly enhances student GPA by enabling efficient time management and flexible learning schedules.

Authors

Publication Details

Journal
Asian Journal of Science Education
Published
2024-11-27
DOI
https://doi.org/10.24815/ajse.v6i2.38747
Primary Topic
Technology-Enhanced Education Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Impact of Learning Management Systems (LMS) Based on Learning Analytics on the Academic Performance of Syiah Kuala University Students

Mohammad Faidzul Nasrudin, Hizir Sofyan, Mailizar Mailizar, M.IT Drs. Elmi Mahzum
Asian Journal of Science Education
Technology-Enhanced Education Studies
article

The Impact of Learning Management Systems (LMS) Based on Learning Analytics on the Academic Performance of Syiah Kuala University Students

Mohammad Faidzul Nasrudin, Hizir Sofyan, Mailizar Mailizar, M.IT Drs. Elmi Mahzum
article en

Abstract

This study investigates the impact of Learning Management Systems (LMS) based on learning analytics on the academic performance of students in the Department of Physics Education at Universitas Syiah Kuala. Data were collected from 47 students, focusing on several indicators of LMS usage, including material access, task completion, and quiz participation. The analysis, as presented in Table 1, reveals significant positive correlations between LMS utilization and student GPA. Specifically, Pearson, Spearman, and Kendall correlation coefficients demonstrate strong associations (r 0.8, p 0.001) between the hours spent on the LMS and academic performance. Students frequently accessed learning materials more than completing assignments and quizzes, benefiting from the flexibility to study at their own pace. This adaptability is especially advantageous for students balancing academic and personal commitments, contributing to reduced stress levels and improved academic focus. The findings suggest that LMS utilization significantly enhances student GPA by enabling efficient time management and flexible learning schedules.

Asian Journal of Science EducationVol. 6(2)
Openalex Percentile: Top 59%
Technology-Enhanced Education Studies
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.

The Impact of Learning Management Systems (LMS) Based on Learning Analytics on the Academic Performance of Syiah Kuala University Students — Mohammad Faidzul Nasrudin, Hizir Sofyan, et al. · Asian Journal of Science Education (2024) | TGRS Research Map | TGRS