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        <title>A Comprehensive Evaluation of GenAI-based Items in a Medical Examination</title>
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        <namePart type="given">Yanlin</namePart>
        <namePart type="family">Jiang</namePart>
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        <namePart type="given">Aquia</namePart>
        <namePart type="family">Richburg</namePart>
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    <name type="personal">
        <namePart type="given">Nikole</namePart>
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    <name type="personal">
        <namePart type="given">Brittany</namePart>
        <namePart type="family">Corrigan</namePart>
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            <namePart type="given">Joshua</namePart>
            <namePart type="family">Wilson</namePart>
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            <namePart type="given">Christopher</namePart>
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            <namePart type="given">Magdalen</namePart>
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    <abstract>This study evaluated GenAI-based medical assessment items against SME-developed items. Analyses of item content and response data from a high-stakes examination showed that their content quality and psychometric characteristics are comparable. These findings empirically support the quality of GenAI-based items and their potential use in educational and professional assessment programs.</abstract>
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%0 Conference Proceedings
%T A Comprehensive Evaluation of GenAI-based Items in a Medical Examination
%A Jiang, Yanlin
%A Walker, Marcus
%A Dallas, Andrew
%A Richburg, Aquia
%A Gregg, Nikole
%A Corrigan, Brittany
%Y Wilson, Joshua
%Y Ormerod, Christopher
%Y Beiting-Parrish, Magdalen
%S Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress
%D 2026
%8 October
%I National Council on Measurement in Education (NCME)
%C Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States
%@ 979-8-9983004-1-7
%F jiang-etal-2026-comprehensive
%X This study evaluated GenAI-based medical assessment items against SME-developed items. Analyses of item content and response data from a high-stakes examination showed that their content quality and psychometric characteristics are comparable. These findings empirically support the quality of GenAI-based items and their potential use in educational and professional assessment programs.
%U https://aclanthology.org/2026.aimecon-wip.35/
%P 275-281

Markdown (Informal)

[A Comprehensive Evaluation of GenAI-based Items in a Medical Examination](https://aclanthology.org/2026.aimecon-wip.35/) (Jiang et al., AIME-Con 2026)

ACL

• Yanlin Jiang, Marcus Walker, Andrew Dallas, Aquia Richburg, Nikole Gregg, and Brittany Corrigan. 2026. A Comprehensive Evaluation of GenAI-based Items in a Medical Examination. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress, pages 275–281, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).