Principle-Driven Micro-Script Generation for Informal Collaborative Learning on Discussion Boards
DOI:
https://doi.org/10.52731/liir.v006.398Keywords:
Collaboration Scripts, Informal Learning, Knowledge Building, Large Language ModelsAbstract
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.
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