This group provides a repository for documents relevant to people interested in using large language models (esp. Gen AI) for education contexts, including student-facing features, teacher tools and administrators.

The intended focus is empirical studies of applied uses of LLMs and evaluations of how well they 'perform' considering security/privacy, validity, and reliability, but other relevant papers are welcome.

This group is an activity of the National Council of Measurement in Education SIG for AI in Education, but is open to the public. For information about the group or to participate more deeply, please contact John Whitmer (jwhitmer@fas.org).

If you use this library for research, we'd appreciate a citation!

LLMs-4-EDU (Public)

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