Automatic Large Language Models Creation of Interactive Learning Lessons

• URL: http://arxiv.org/abs/2506.17356v1
• Date: Fri, 20 Jun 2025 06:58:50 GMT
• Title: Automatic Large Language Models Creation of Interactive Learning Lessons
• Authors: Jionghao Lin, Jiarui Rao, Yiyang Zhao, Yuting Wang, Ashish Gurung, Amanda Barany, Jaclyn Ocumpaugh, Ryan S. Baker, Kenneth R. Koedinger,
• Abstract summary: We develop a system capable of creating structured tutor training lessons.<n>Our study generated lessons in English for three key topics: Encouraging Students' Independence, Encouraging Help-Seeking Behavior, and Turning on Cameras.<n>Results demonstrate that the task decomposition strategy led to higher-rated lessons compared to single-step generation.
• Score: 4.3668925518595225
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We explore the automatic generation of interactive, scenario-based lessons designed to train novice human tutors who teach middle school mathematics online. Employing prompt engineering through a Retrieval-Augmented Generation approach with GPT-4o, we developed a system capable of creating structured tutor training lessons. Our study generated lessons in English for three key topics: Encouraging Students' Independence, Encouraging Help-Seeking Behavior, and Turning on Cameras, using a task decomposition prompting strategy that breaks lesson generation into sub-tasks. The generated lessons were evaluated by two human evaluators, who provided both quantitative and qualitative evaluations using a comprehensive rubric informed by lesson design research. Results demonstrate that the task decomposition strategy led to higher-rated lessons compared to single-step generation. Human evaluators identified several strengths in the LLM-generated lessons, including well-structured content and time-saving potential, while also noting limitations such as generic feedback and a lack of clarity in some instructional sections. These findings underscore the potential of hybrid human-AI approaches for generating effective lessons in tutor training.

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