Enhancing Student Performance through EduMate: An AI-Powered Smart Tutoring System

Authors

  • Zobayer Md Ahsanul Mahbub Department of Computer Science, International Islamic University Malaysia, Kuala Lumpur, Malaysia
  • Mahamat Ali Adam Department of Computer Science, International Islamic University Malaysia, Kuala Lumpur, Malaysia
  • Norsaremah Salleh Department of Computer Science, International Islamic University Malaysia, Kuala Lumpur, Malaysia

Keywords:

Personalized learning, smart tutoring system, educational technology

Abstract

In the modern educational landscape, students possess unique learning styles, yet many institutions continue to rely on a one-size-fits-all teaching approach. This traditional methodology often results in struggling students falling behind while advanced learners remain unchallenged. This paper presents EduMate, an AI-powered personalized tutoring system designed to adapt to individual learning styles, proficiency levels, and academic progress. Utilizing a combination of Machine Learning (ML) and Large Language Models (LLM), EduMate functions as a web-based platform that offers tailored lessons, dynamically generated quizzes, and real-time AI conversational feedback. The system features dedicated interfaces for students, teachers, and administrators, effectively bridging learning gaps while equipping educators with actionable insights into student performance.

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Published

31-07-2026

How to Cite

Mahbub, Z. M. A. ., Adam, M. A., & Salleh, N. (2026). Enhancing Student Performance through EduMate: An AI-Powered Smart Tutoring System. International Journal on Perceptive and Cognitive Computing, 12(2), 135–141. Retrieved from https://journals.iium.edu.my/kict/index.php/IJPCC/article/view/720

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Articles