JOURNAL ARTICLE

GPTutor: Great Personalized Tutor with Large Language Models for Personalized Learning Content Generation

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.

Keywords:
Computer science TUTOR Personalized learning Content (measure theory) Multimedia Artificial intelligence Mathematics education Teaching method Programming language Psychology

Metrics

21
Cited By
22.43
FWCI (Field Weighted Citation Impact)
4
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Open Education and E-Learning
Physical Sciences →  Computer Science →  Computer Science Applications
Intelligent Tutoring Systems and Adaptive Learning
Physical Sciences →  Computer Science →  Artificial Intelligence
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