ChatGPT as an AI tutor in learning environments

Norsyiha, Fuziatul and Omar, Mawardi and Samsudin, Norshuhada and Wan Mohd Rosly, Wan Nur Shaziayani (2026) ChatGPT as an AI tutor in learning environments. Merging Lanes: Where E-Learning Diversity Meets Future Trends, 11. pp. 116-120. ISSN 978-629-98755-9-8

Official URL: https://appspenang.uitm.edu.my/sigcs/

Abstract

The integration of artificial intelligence (AI) in education has transformed how students access information, engage with content, and receive instructional support. Among AI tools, ChatGPT, a conversational large language model, has emerged as a promising AI tutor capable of providing personalized guidance, adaptive feedback, and interactive explanations tailored to students’ learning needs. This paper examines the role of ChatGPT in supporting self-regulated learning and enhancing student engagement across diverse learning environments, including face-to-face, blended, and online contexts. While ChatGPT offers immediacy, scalability, and accessibility, its integration raises pedagogical and ethical challenges, including potential overreliance, misconceptions from AI-generated responses, and academic integrity concerns. An illustrative example from a MAT183 assessment demonstrates how students may use ChatGPT to obtain correct answers while diverging from prescribed instructional methods, highlighting both its potential and limitations. The study concludes that ChatGPT is most effective when implemented within a balanced, hybrid model, complementing human educators’ guidance, fostering critical thinking, and supporting inclusive and meaningful learning experiences.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Norsyiha, Fuziatul
fuziatul@uitm.edu.my
Omar, Mawardi
mawardio@uitm.edu.my
Samsudin, Norshuhada
norsh111@uitm.edu.my
Wan Mohd Rosly, Wan Nur Shaziayani
shaziayani@uitm.edu.my
Contributors:
Contribution
Name
Email / ID Num.
Advisor
Abd Rahman, Nor Hanim
UNSPECIFIED
Chief Editor
Othman, Jamal
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Evolutionary programming (Computer science). Genetic algorithms
Divisions: Universiti Teknologi MARA, Pulau Pinang > Permatang Pauh Campus
Journal or Publication Title: Merging Lanes: Where E-Learning Diversity Meets Future Trends
ISSN: 978-629-98755-9-8
Volume: 11
Page Range: pp. 116-120
Keywords: Artificial Intelligence (AI), ChatGPT, AI tutor
Date: April 2026
URI: https://ir.uitm.edu.my/id/eprint/136792
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