Article

Can Large Language Models Emulate Human Performance on Educational Assessments?

2026-04-13

Abstract excerpt

<p>Large language models (LLMs) are increasingly used to generate synthetic data for research and evaluation, including simulating student responses to educational assessments. However, their validity for emulating authentic human performance remains unclear. This study evaluates whether LLMs can-generate assessment data that preserve the score distribution, subgroup relationships, item functioning, latent-variabl...

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Literature Corpus work: c8310607-a83d-52b3-90a9-6b63e19ff464
DOI: 10.31234/osf.io/btja8_v1

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