Current - Issue

Year 2026 · Volume 5 · Issue 2

Original Article

A Comparative Study of Machine Learning Algorithms for Student Academic Performance Prediction

S Mohan Prasad1 Krithika M2
1 2 School of Science and Computer Science, CMR University, Bengaluru, Karnataka, India.

Published Online: May-August 2026

Pages: 1079-1083

Cite this article

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References

1. Cortez, P., & Silva, A. M. G. (2008). Using data mining to predict secondary school student performance. In Proceedings of 5th Annual Future
Business Technology Conference (pp. 5-12).
2. Nohuddin, P. N. E., Zainol, Z., & Hijazi, M. H. A., et al. Comparative Analysis of Machine Learning Techniques for Predicting Students'
Academic Performance. In Studies in Computational Intelligence (Springer).
3. Proceedings of the 2025 2nd International Conference on Informatics Education and Computer Technology Applications. Machine Learning-
Based Academic Performance Prediction: A Comparative Empirical Analysis. ACM.
4. Kotsiantis, S., Pierrakeas, C., & Pintelas, P. (2004). Predicting students' performance in distance learning using machine learning techniques.
Applied Artificial Intelligence, 18(5), 411-426.
5. Ahmed, et al. (2024). Student Performance Prediction Using Machine Learning Algorithms. Applied Computational Intelligence and Soft
Computing, 2024, Article 4067721.
6. Predicting Students' Academic Performance Via Machine Learning: A Literature Review. ScholarWorks, University of Texas Rio Grande
Valley.
7. Machine learning approach to student performance prediction of online learning. (2024). PMC.
8. Comparison of machine learning classification and regression models for prediction of academic performance among postgraduate public
health students. PMC.
9. Machine learning-based academic performance prediction with explainability for enhanced decision-making in educational institutions.
(2025). Scientific Reports.

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