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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM63046

Student Performance Analysis Using AI

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM63046

Volume:

10 |

5 |

May 2026

Pages:

1-3

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

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.

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Authors

Srushti  Sidram Panjlor

Srushti Sidram Panjlor

Artificial Intelligence & Data Science

vidya vikas pratishthan institute of engineering and technology solapur

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Ankita Pravin Maske

Ankita Pravin Maske

Artificial Intelligence & Data Science

vidya vikas pratishthan institute of engineering and technology solapur

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Aditi  uday Jadhav

Aditi uday Jadhav

Artificial Intelligence & Data Science

vidya vikas pratishthan institute of engineering and technology solapur

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Dhanashri Vittal Kate

Dhanashri Vittal Kate

Artificial Intelligence & Data Science

vidya vikas pratishthan institute of engineering and technology solapur

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Mentors

Vpm

Vaishali prashant more

Artificial Intelligence & Data Science

vidya vikas pratishthan institute of engineering and technology solapur

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Abstract

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

Key Words: Artificial Intelligence Machine Learning Student Analysis Prediction System Academic Performance Data Analytics.

Cite This Article

Srushti Sidram Panjlor, Ankita Pravin Maske, Aditi uday Jadhav, Dhanashri Vittal Kate, Vaishali prashant more, "Student Performance Analysis Using AI," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-3, May 2026.

Full Article/Conclusion

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.

References

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

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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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