Enhancing student performance through EduMate: an AI-powered smart tutoring system

Md Ahsanul Mahbub, Zobayer and Ali Adam, Mahamat and Salleh, Norsaremah (2026) Enhancing student performance through EduMate: an AI-powered smart tutoring system. International Journal on Perceptive and Cognitive Computing (IJPCC), 12 (2). pp. 135-141. E-ISSN 2462-229X

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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.

Item Type:	Article (Journal)
Uncontrolled Keywords:	Personalized learning, smart tutoring system, educational technology
Subjects:	Q Science > Q Science (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Dr Norsaremah Salleh
Date Deposited:	07 Aug 2026 09:50
Last Update:	07 Aug 2026 09:50
Queue Number:	2026-08-Q4524
URI:	http://irep.iium.edu.my/id/eprint/130521

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