Factors affecting student’s academic performance

Wan Abdul Razak, Wan Alia Izzati and Khairul Akmal, Siti Nur Adawiyah and Azizan, Nur Fatinhieyah and Wani, Sharyar and Hamal, Abdul Qayoom and Muhammad, Abdul Hafeez (2021) Factors affecting student’s academic performance. International Journal on Perceptive and Cognitive Computing (IJPCC), 7 (1). pp. 99-107. E-ISSN 2462-229X

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Abstract

The educational system measures students’ performance using varied assessment methodssuch as quizzes, tests, examinations and assignments.Academic performance along with skill sets isstrongly linked with positive outcomes upon completion of studies in the ever-demanding job market or pursuance of higher studies. Variousfactors can affect students’ academic performance such as mental issues, working status, time spent on gadgets and study duration. This research studies the role of various factors in order to understand their role in the student’s academic performance. Furthermore, various machine learning algorithms are implemented for the prediction process for a student’sperformance range. The results present that various internal and external pressure on a student is a major contributor to the state of academic performance among other factors discussed in this paper. Light Gradient Boosting Machine performs the best compared to other algorithms in the multi-class classification problem with an overall accuracy and F1-score of 0.87 and 0.86, respectively.

Item Type:	Article (Journal)
Uncontrolled Keywords:	Academic Performance,Student, Self Confidence, Family Pressure, Light Gradient Boosting Machine, Gradient Boosting Classifier, K Neighbors Classifier
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 Kulliyyah of Information and Communication Technology 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:	06 May 2025 10:31
Last Modified:	06 May 2025 10:31
URI:	http://irep.iium.edu.my/id/eprint/120788

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