Student’s performance based on e-learning platform behaviour using clustering techniques

Abdo, Abdella Mame and Ahmad Rasid, Nur Maisara and Mohd Badli, Nur Amira Husna and Sulaiman, Siti Nur Aisha and Wani, Sharyar and Zainol, Zuraini (2021) Student’s performance based on e-learning platform behaviour using clustering techniques. International Journal on Perceptive and Cognitive Computing, 7 (1). pp. 72-78. E-ISSN 2462-229X

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Abstract

Measuring student engagement on e-learning platforms is critical to student learning because online platforms can make some students feel isolated and disconnected, leading to loss of interest and affecting academic performance. This paper explores the relation between student's responses on e-learning platforms and performance of various skill levels. Using K-Means clustering technique the students are grouped by their total responses and relative total skill levels to determine cluster having various total response rate and total skill levels in order to measure student performance based on their engagement. This will also assist instructors to focus on students/clusters that require more attention in the teaching and learning process. The clustering results indicate students with higher engagement tend to perform better compared to the cluster with moderate and lower engagement patterns

Item Type:	Article (Journal)
Uncontrolled Keywords:	Student Performance, E-Learning, Platform, K-means Clustering, Online Engagement
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Dr. Sharyar Wani
Date Deposited:	30 Apr 2025 14:59
Last Modified:	30 Apr 2025 14:59
URI:	http://irep.iium.edu.my/id/eprint/120800

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