EduPlanner: LLM-Based Multiagent Systems for Customized and Intelligent Instructional Design

EduPlanner is an LLM-based multi-agent system that automatically generates and iteratively optimizes instructional designs (lesson plans) for mathematics curriculum, using a Skill-Tree structure to model student knowledge levels and a five-dimensional evaluation framework (CIDDP) to assess lesson plan quality.

Large language models (LLMs) have significantly advanced smart education in the artificial general intelligence era. A promising application lies in the automatic generalization of instructional design for curriculum and learning activities, focusing on two key aspects: 1) customized generation: generating niche-targeted teaching content based on students' varying learning abilities and states and 2) intelligent optimization: iteratively optimizing content based on feedback from learning effecti

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