GPTutor: Great Personalized Tutor with Large Language Models for Personalized Learning Content Generation
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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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Citing papers per year: 2024: 1; 2025: 1; 2026: 7.
9 papers.
- 2026From Recall to Forgetting: Benchmarking Long-Term Memory for Personalized Agentscited by 29
- 2025VTutor: An Animated Pedagogical Agent SDK that Provide Real Time Multi-Model Feedbackcited by 2
- 2026When AI Agents Learn from Each Other: Insights from Emergent AI Agent Communities on OpenClaw for Human-AI Partnership in Educationcited by 1
- 2026ALTO: Adaptive LoRA Tuning and Orchestration for Heterogeneous LoRA Training Workloadscited by 1
- 2024Evaluating Large Language Models for automatic analysis of teacher simulationscited by 0
- 2026Chat-Based Support Alone May Not Be Enough: Comparing Conversational and Embedded LLM Feedback for Mathematical Proof Learningcited by 0
- 2026Designing Safe and Accountable GenAI as a Learning Companion with Women Banned from Formal Educationcited by 0
- 2026Lect=uraAgents: A Multi-Agent Framework for Adaptive Personalized AI-Assisted Learning and Embodied Teachingcited by 0
- 2026A Prompt-Engineering Approach to Develop Scalable, Flexible, and Real-Time Hybrid Micro-Level Personalization in a General Purpose AI Teaching Assistantcited by 0
- 2026A Prompt-Engineering Approach to Develop Scalable, Flexible, and Real-Time Hybrid Micro-Level Personalization in a General Purpose AI Teaching Assistant3 Sep 2026
- 2026Lect=uraAgents: A Multi-Agent Framework for Adaptive Personalized AI-Assisted Learning and Embodied Teaching15 Jun 2026
- 2026From Recall to Forgetting: Benchmarking Long-Term Memory for Personalized Agents21 Apr 2026
- 2026Designing Safe and Accountable GenAI as a Learning Companion with Women Banned from Formal Education8 Apr 2026
- 2026ALTO: Adaptive LoRA Tuning and Orchestration for Heterogeneous LoRA Training Workloads7 Apr 2026
- 2026When AI Agents Learn from Each Other: Insights from Emergent AI Agent Communities on OpenClaw for Human-AI Partnership in Education17 Mar 2026
- 2026Chat-Based Support Alone May Not Be Enough: Comparing Conversational and Embedded LLM Feedback for Mathematical Proof Learning21 Feb 2026
- 2025VTutor: An Animated Pedagogical Agent SDK that Provide Real Time Multi-Model Feedback10 May 2025
- 2024Evaluating Large Language Models for automatic analysis of teacher simulations29 Jul 2024
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- 2026DeepTutor: Towards Agentic Personalized Tutoring
- 2025One Size doesn't Fit All: A Personalized Conversational Tutoring Agent for Mathematics Instruction
- 2025Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems
- 2025Automatic Large Language Models Creation of Interactive Learning Lessons
- 2025ExpertAgent: Enhancing Personalized Education through Dynamic Planning and Retrieval-Augmented Long-Chain Reasoning
- 2025Cultivating Helpful, Personalized, and Creative AI Tutors: A Framework for Pedagogical Alignment using Reinforcement Learning
- 2025Training LLM-based Tutors to Improve Student Learning Outcomes in Dialogues
- 2026Beyond the Chatbot: Co-Learning and Co-Teaching through a Dual-Persona Generative-AI Assistant