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        <title>Evaluating Score Dependability in ChatGPT-Supported AP Chinese Speaking Tasks</title>
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            <namePart type="given">Joshua</namePart>
            <namePart type="family">Wilson</namePart>
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    <abstract>This study applied generalizability theory to examine score variation and dependability in AP Chinese speaking tasks completed with and without ChatGPT support. Although ChatGPT-supported tasks were associated with higher scores, the NoGPT condition consistently exhibited higher dependability coefficients. Increasing the numbers of tasks and raters further improved score dependability.</abstract>
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%0 Conference Proceedings
%T Evaluating Score Dependability in ChatGPT-Supported AP Chinese Speaking Tasks
%A Song, Dan
%A Lee, Won-Chan
%Y Wilson, Joshua
%Y Ormerod, Christopher
%Y Beiting-Parrish, Magdalen
%S Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Coordinated Session Papers
%D 2026
%8 October
%I National Council on Measurement in Education (NCME)
%C Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States
%@ 979-8-9983004-2-4
%F song-lee-2026-evaluating
%X This study applied generalizability theory to examine score variation and dependability in AP Chinese speaking tasks completed with and without ChatGPT support. Although ChatGPT-supported tasks were associated with higher scores, the NoGPT condition consistently exhibited higher dependability coefficients. Increasing the numbers of tasks and raters further improved score dependability.
%U https://aclanthology.org/2026.aimecon-sessions.8/
%P 70-75

Markdown (Informal)

[Evaluating Score Dependability in ChatGPT-Supported AP Chinese Speaking Tasks](https://aclanthology.org/2026.aimecon-sessions.8/) (Song & Lee, AIME-Con 2026)

• Evaluating Score Dependability in ChatGPT-Supported AP Chinese Speaking Tasks (Song & Lee, AIME-Con 2026)

ACL

• Dan Song and Won-Chan Lee. 2026. Evaluating Score Dependability in ChatGPT-Supported AP Chinese Speaking Tasks. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Coordinated Session Papers, pages 70–75, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).