mlsanityData to 7 Oct 2026

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

arXiv 2407.09484 ↗First posted 16 May 2024cs.HC cs.CYcited by 9

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Abstract (arXiv)

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.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 May 2024.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 1; 2026: 7.

9 papers.

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  1. 2026DeepTutor: Towards Agentic Personalized Tutoring
  2. 2025One Size doesn't Fit All: A Personalized Conversational Tutoring Agent for Mathematics Instruction
  3. 2025Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems
  4. 2025Automatic Large Language Models Creation of Interactive Learning Lessons
  5. 2025ExpertAgent: Enhancing Personalized Education through Dynamic Planning and Retrieval-Augmented Long-Chain Reasoning
  6. 2025Cultivating Helpful, Personalized, and Creative AI Tutors: A Framework for Pedagogical Alignment using Reinforcement Learning
  7. 2025Training LLM-based Tutors to Improve Student Learning Outcomes in Dialogues
  8. 2026Beyond the Chatbot: Co-Learning and Co-Teaching through a Dual-Persona Generative-AI Assistant