Principle-Driven Micro-Script Generation for Informal Collaborative Learning on Discussion Boards

This paper introduces Principle-Driven Micro-Script Generation (PDMSG), a method that leverages large language models (LLMs) to dynamically generate context-aware collaboration micro-scripts for informal learning communities. PDMSG combines four inputs—(1) activity goals, (2) community constraints, (3) learning principles, and (4) recent discussion-board logs—into a single prompt for the LLMs, which return concise next-step recommendations for each participant. A pilot in the BookClub community demonstrated that PDMSG yields context-relevant, actionable suggestions, indicating its promise for informal collaborative learning. Future work will refine delivery interfaces and empirically evaluate learning outcomes.