Volume 6 • Issue 1 • PP: 08–20 • 2027
SmartTutor-GPT: An AI-Driven Intelligent Tutoring System Using ChatGPT for Enhancing Personalized Learning in Online Education Platforms
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© 2027 The Author(s). Published by ASPG. This article is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
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In the current era, the rapid evolution of artificial intelligence has opened doors to combining education with cutting-edge AI capabilities. However, prominent online learning platforms like Coursera and Udemy have not yet tapped into this synergy. This paper proposes an intelligent tutoring system that leverages AI innovations such as ChatGPT to enhance the online learning experience and improve student performance. To achieve this, the paper use the OpenAI interface to interact with ChatGPT, employing a suite of frameworks including React, Spring Boot, and Flask for a seamless front-end and back-end service delivery. On the infrastructure front, the robust capabilities of AWS, Kubernetes, Docker, and Jenkins is employed to facilitate continuous integration and continuous deployment (CICD). To assess the effectiveness of our system, we use a combination of A/B tests, tree tests, and questionnaires. These methods are complemented by stress tests and monitoring mechanisms to ensure reliability. While the proposed system satisfied the majority of functional and non-functional requirements, the experimental group demonstrated greater learning gains than the control group, with average scores increasing from 0.50 to 3.33 (improvement = 2.83), compared with 0.66 to 3.00 (improvement = 2.33) for the control group. The lower variance in the experimental group (0.333 vs. 1.00) indicates more consistent outcomes; however, the t-test results suggest that the difference in learning outcomes was not statistically conclusive.
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