LC-RAG augments standard RAG by incorporating environment logs to contextualize student discourse, yielding better retrieval and more relevant guidance from the Copa agent in the C2STEM modeling environment.
In: Proceedings of the 18th International Conference on Computer-Supported Collaborative Learning-CSCL 2025
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Personalizing Student-Agent Interactions Using Log-Contextualized Retrieval-Augmented Generation (RAG)
LC-RAG augments standard RAG by incorporating environment logs to contextualize student discourse, yielding better retrieval and more relevant guidance from the Copa agent in the C2STEM modeling environment.