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        <title>Using Generative AI to Develop a Common Metric in Item Response Theory</title>
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            <namePart type="given">Joshua</namePart>
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            <namePart type="given">Christopher</namePart>
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        <name type="personal">
            <namePart type="given">Magdalen</namePart>
            <namePart type="family">Beiting Parrish</namePart>
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    <abstract>We propose a method for linking independently calibrated item response theory (IRT) scales using large language models to generate shared parameter estimates across forms. Applied to medical licensure data, the approach reliably recovers slope values across all conditions and yields accurate intercepts when cross-form differences in item difficulty are small.</abstract>
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%0 Conference Proceedings
%T Using Generative AI to Develop a Common Metric in Item Response Theory
%A Baldwin, Peter
%Y Wilson, Joshua
%Y Ormerod, Christopher
%Y Beiting Parrish, Magdalen
%S Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers
%D 2025
%8 October
%I National Council on Measurement in Education (NCME)
%C Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States
%@ 979-8-218-84228-4
%F baldwin-2025-using
%X We propose a method for linking independently calibrated item response theory (IRT) scales using large language models to generate shared parameter estimates across forms. Applied to medical licensure data, the approach reliably recovers slope values across all conditions and yields accurate intercepts when cross-form differences in item difficulty are small.
%U https://aclanthology.org/2025.aimecon-main.30/
%P 281-289

Markdown (Informal)

[Using Generative AI to Develop a Common Metric in Item Response Theory](https://aclanthology.org/2025.aimecon-main.30/) (Baldwin, AIME-Con 2025)

• Using Generative AI to Develop a Common Metric in Item Response Theory (Baldwin, AIME-Con 2025)

ACL

• Peter Baldwin. 2025. Using Generative AI to Develop a Common Metric in Item Response Theory. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pages 281–289, Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).