Machine Learning Based Predictive Analysis for Student Academic Performance
International Journal of Emerging Technologies and Innovative Research, Vol. 12, Issue 3, 145–158, 2026
2026
Year
0
Citations
English
Language
15 Aug 2026
Published
Abstract
This research presents a machine learning based approach for predicting student academic performance using attendance, examination results, assignment scores, and other academic parameters. The proposed system can help educational institutions identify students who may require additional academic support and improve overall learning outcomes.
Keywords
Machine Learning
Student Performance
Predictive Analysis
Education
Data Analytics
Academic Prediction
Publication Details
Journal
International Journal of Emerging Technologies and Innovative Research
Volume / Issue
Vol. 12, Issue 3
Pages
145–158
ISSN
2349-5162
Publisher
Academic Research Publications
Language
English
Indexing
UGC Care Listed
References
- John Smith, Machine Learning Fundamentals, Academic Press, 2024.
- A. Kumar, “Predictive Analytics in Education,” International Journal of Computer Applications, 2025.
- R. Patel and N. Shah, “Student Performance Prediction Using Machine Learning,” Journal of Educational Technology, 2026.
Dr. Ronak Patel, Dr. Amit Shah, Prof. Neha Desai (2026). Machine Learning Based Predictive Analysis for Student Academic Performance. International Journal of Emerging Technologies and Innovative Research, Vol. 12, Issue 3, 145–158.