GPTutor: Great Personalized Tutor with Large Language Models for Personalized Learning Content Generation
Eason Chen, Jia-En Lee, Jionghao Lin, Kenneth Koedinger

TL;DR
GPTutor is a scalable web application that uses Generative AI to create personalized educational content and exercises tailored to individual student interests and goals, enhancing engagement and learning outcomes.
Contribution
It introduces a novel serverless architecture combined with advanced Chain-of-Thoughts prompting to deliver personalized learning experiences at scale.
Findings
Effective personalization of educational content demonstrated
Enhanced student engagement and understanding shown
Scalable system architecture validated
Abstract
We developed GPTutor, a pioneering web application designed to revolutionize personalized learning by leveraging the capabilities of Generative AI at scale. GPTutor adapts educational content and practice exercises to align with individual students' interests and career goals, enhancing their engagement and understanding of critical academic concepts. The system uses a serverless architecture to deliver personalized and scalable learning experiences. By integrating advanced Chain-of-Thoughts prompting methods, GPTutor provides a personalized educational journey that not only addresses the unique interests of each student but also prepares them for future professional success. This demo paper presents the design, functionality, and potential of GPTutor to foster a more engaging and effective educational environment.
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Taxonomy
TopicsIntelligent Tutoring Systems and Adaptive Learning · Educational Technology and Assessment · Natural Language Processing Techniques
