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Predicting Item-Level Characteristics of Knowledge Tests Using Large-Language Models

2026-04-21

Abstract excerpt

<p>Efficient test construction depends on accurate estimates of item difficulty and discrimination, yet obtaining such estimates through piloting with human participants is costly and time-consuming. Whereas item parameters of decontextualized reasoning tasks can often be approximated from formal construction rules, comparable predictor sets for contextualized knowledge items remain scarce. We investigated whether...

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Literature Corpus work
a94d1a9e-c8f5-523e-abb0-122ea36ab732
DOI
10.31234/osf.io/mv8sk_v1
Open publication

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Predicting Item-Level Characteristics of Knowledge Tests Using Large-Language ModelsDOI 10.31234/osf.io/mv8sk_v1
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