
A multi-agent large language model framework, LLMAgent-CK, can effectively identify teachers' mastery of mathematical content knowledge without the need for labeled data, by leveraging the collaborative discussion and consensus-building capabilities of diverse AI agents.


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leveraging-multi-agent-large-language-models-to-identify-teachers-mathematical-content-knowledge


Leveraging Multi-Agent Large Language Models to Identify Teachers' Mathematical Content Knowledge


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Large language models can generate mathematically valid distractors for math multiple-choice questions, but struggle to anticipate common errors or misconceptions among real students.


automated-generation-of-plausible-distractors-for-math-multiple-choice-questions-using-large-language-models


Automated Generation of Plausible Distractors for Math Multiple-Choice Questions using Large Language Models
