Identifying Factors Influencing Student Academic Performance Using Feature Selection Method by Weight in Private Higher Institution

DOI

10.2991/978-94-6239-636-4_16How to use a DOI?

Keywords

academic performance; data mining; filter method; private higher institution

Abstract

Low academic achievement is a significant issue for higher educational institutions, hindering their ability to equip students with the necessary skills to succeed in a competitive and rapidly evolving society. At private higher education institutions in Malaysia, students are required to achieve a minimum Cumulative Grade Point Average (CGPA) of 2.50 to remain eligible for financial aid or scholarships provided by Majlis Amanah Rakyat (MARA). Failure to meet this requirement may result in financial hardship, student dropouts and delayed graduations. This issue not only affects the students personally and financially but also impacts institutional reputation. Therefore, identifying and understanding the factors that influence student achievement is crucial for both educational institutions and policymakers in order to implement targeted interventions. Previous studies have highlighted several determinants, such as socio-economic background, parental involvement, school environment, student motivation, peer influence and the quality of teaching. The objective of this study is to identify key variables using four methods which are Information Gain, Information Gain Ratio, Relief and Chi Square Statistics which assesses the statistical relevance of each variable. The significant variables include Take of Value (TOV), program, semester, gender, total household income and college status. Therefore, identifying factors that influence student achievement is crucial for both educational institutions and policymakers.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Emi Amielda Binti Ahmad Mokhtar
AU  - Nik Nur Syazreen Binti Nik Rohaimi
AU  - Suriana Binti Ishak
AU  - Noor Farah Wahida Binti Abdul Rashid
AU  - Hazrina Binti Tajudin
AU  - Syahirah Binti Abdul Kadir
PY  - 2026
DA  - 2026/04/28
TI  - Identifying Factors Influencing Student Academic Performance Using Feature Selection Method by Weight in Private Higher Institution
BT  - Proceedings of the International Conference on Cross- Disciplinary Academic Research 2025 - Track 1 Advances in Computing, Electronics, Engineering, and Mathematics (ICAR-T1 2025)
PB  - Atlantis Press
SP  - 201
EP  - 214
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-636-4_16
DO  - 10.2991/978-94-6239-636-4_16
ID  - Mokhtar2026
ER  -