AgentTutor: Empowering Personalized Learning with Multi-Turn Interactive Teaching in Intelligent Education Systems

• URL: http://arxiv.org/abs/2601.04219v1
• Date: Wed, 24 Dec 2025 12:26:28 GMT
• Title: AgentTutor: Empowering Personalized Learning with Multi-Turn Interactive Teaching in Intelligent Education Systems
• Authors: Yuxin Liu, Zeqing Song, Jiong Lou, Chentao Wu, Jie Li,
• Abstract summary: AgentTutor is a multi-turn interactive intelligent education system to empower personalized learning.<n>It features an LLM-powered generative multi-agent system and a learner-specific personalized learning profile environment.<n>It includes five key modules: curriculum decomposition, learner assessment, dynamic strategy, teaching reflection, and knowledge & experience memory.
• Score: 11.202091624300062
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The rapid advancement of large-scale language models (LLMs) has shown their potential to transform intelligent education systems (IESs) through automated teaching and learning support applications. However, current IESs often rely on single-turn static question-answering, which fails to assess learners' cognitive levels, cannot adjust teaching strategies based on real-time feedback, and is limited to providing simple one-off responses. To address these issues, we introduce AgentTutor, a multi-turn interactive intelligent education system to empower personalized learning. It features an LLM-powered generative multi-agent system and a learner-specific personalized learning profile environment that dynamically optimizes and delivers teaching strategies based on learners' learning status, personalized goals, learning preferences, and multimodal study materials. It includes five key modules: curriculum decomposition, learner assessment, dynamic strategy, teaching reflection, and knowledge & experience memory. We conducted extensive experiments on multiple benchmark datasets, AgentTutor significantly enhances learners' performance while demonstrating strong effectiveness in multi-turn interactions and competitiveness in teaching quality among other baselines.

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