LLMs tested for predicting item difficulty levels in large-scale tests; study compares prompting strategies and models across LLMs and encoder-only baselines.
Read the original at arxiv.org→arXiv:2607.28634v1 Announce Type: new Abstract: The estimation of item difficulty plays a key role in both formative assessment and large-scale high-stakes summative assessments. This study explores how large...
Original headline: "Can LLMs Really Understand Item Difficulty Levels? Implications for Automated Item Generation Using LLMs"
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- Aug 3, 04:00 UTC arXiv cs.CL lead source Can LLMs Really Understand Item Difficulty Levels? Implications for Automated Item Generation Using LLMs