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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM63046
Volume:
10 |
5 |
May 2026
Pages:
1-3
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Artificial Intelligence & Data Science
vidya vikas pratishthan institute of engineering and technology solapur
Artificial Intelligence & Data Science
vidya vikas pratishthan institute of engineering and technology solapur
Artificial Intelligence & Data Science
vidya vikas pratishthan institute of engineering and technology solapur
Artificial Intelligence & Data Science
vidya vikas pratishthan institute of engineering and technology solapur
Artificial Intelligence & Data Science
vidya vikas pratishthan institute of engineering and technology solapur
This Student Performance Analysis using Artificial Intelligence (AI) is an advanced approach for evaluating and predicting student academic performance through data-driven methods. Educational institutions generate large amounts of student-related data such as attendance, assignment scores, examination marks, and participation records. AI techniques help analyze this data efficiently and provide useful insights for teachers and institutions. This project focuses on identifying patterns affecting student performance and predicting outcomes using machine learning algorithms. The system can help educators identify weak students at an early stage and provide proper guidance for improvement. The proposed system improves decision-making, enhances learning outcomes, and supports personalized education strategies. AI-based analysis reduces manual work and increases the accuracy of student performance evaluation.
KEYWORDS
Student Performance Analysis using AI is an effective solution for modern educational institutions. AI techniques help analyze academic data accurately and provide useful insights for improving student performance. The proposed system supports teachers in identifying weak students and taking corrective actions at the right time. In the future, advanced AI models and real-time analytics can further improve educational systems and personalized learning experiences.
1. Springer Research Paper – Student Performance Prediction using AI 2. Data Driven Decisions in Education using Machine Learning 3. Frontiers Research – AI for Student Performance Prediction 4. Meta-analysis on AI Impact in Education 5. Generative AI and Student Academic Performance 6. SPAT – Intelligent Student Performance Analysis Tool 7. Arxiv – Adaptive Intelligence and Performance Analytics
Publication Date
5/11/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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