Do LLM Tutors Actually Teach? A Process-Centered Synthesis of the Tutoring Loop

cs.CL

Submitted: 2026-10-11

Updated: 2026-10-14

Code: https://github.com/NeuralSentinel/llm-tutoring-loop

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Sources

• Who Am I? History-Aware Profiles for Student Simulation in Tutoring Dialogues
• Mining the Gold: Student-AI Chat Logs as Rich Sources for Automated Knowledge Gap Detection
• SafeTutors: Benchmarking Pedagogical Safety in AI Tutoring Systems
• Interpretable Difficulty-Aware Knowledge Tracing in Tutor-Student Dialogues
• EduClaw-Bench: A Long-Horizon Benchmark for Pedagogical LLM Agents with Simulated Learners
• TutorLLM: Customizing Learning Recommendations with Knowledge Tracing and Retrieval-Augmented Generation
• Advancing Education through Tutoring Systems: A Systematic Literature Review
• AgentTutor: Empowering Personalized Learning with Multi-Turn Interactive Teaching in Intelligent Education Systems
• Scaffolding Language Learning via Multi-modal Tutoring Systems with Pedagogical Instructions
• Personality-aware Student Simulation for Conversational Intelligent Tutoring Systems
• Efficient RL for optimizing conversation level outcomes with an LLM-based tutor
• Towards Modeling Learner Performance with Large Language Models
• Empowering Personalized Learning through a Conversation-based Tutoring System with Student Modeling
• Teaching a Large Language Model Tutor to Withhold the Answer: A Supervisor Architecture and an Evidence-Driven Method for Tuning Socratic Behavior
• Hey Chat, Can You Teach Me? Structuring Socratic Dialogue for Human Learning in the Wild
• Implicit Turn-Wise Policy Optimization for Proactive User-LLM Interaction
• Tutor CoPilot: A Human-AI Approach for Scaling Real-Time Expertise
• Towards Valid Student Simulation with Large Language Models

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