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    <abstract>This study evaluates ChatGPT-4’s potential to support validation of Q-matrices and analysis of complex skill–item interactions. By comparing its outputs to expert benchmarks, we assess accuracy, consistency, and limitations, offering insights into how large language models can augment expert judgment in diagnostic assessment and cognitive skill mapping.</abstract>
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%0 Conference Proceedings
%T Leveraging LLMs for Cognitive Skill Mapping in TIMSS Mathematics Assessment
%A Sachdeva, Ruchi J.
%A Park, Jung Yeon
%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 2025
%8 October
%I National Council on Measurement in Education (NCME)
%C Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States
%@ 979-8-218-84229-1
%F sachdeva-park-2025-leveraging
%X This study evaluates ChatGPT-4’s potential to support validation of Q-matrices and analysis of complex skill–item interactions. By comparing its outputs to expert benchmarks, we assess accuracy, consistency, and limitations, offering insights into how large language models can augment expert judgment in diagnostic assessment and cognitive skill mapping.
%U https://aclanthology.org/2025.aimecon-wip.28/
%P 223-228

Markdown (Informal)

[Leveraging LLMs for Cognitive Skill Mapping in TIMSS Mathematics Assessment](https://aclanthology.org/2025.aimecon-wip.28/) (Sachdeva & Park, AIME-Con 2025)

• Leveraging LLMs for Cognitive Skill Mapping in TIMSS Mathematics Assessment (Sachdeva & Park, AIME-Con 2025)

ACL

• Ruchi J Sachdeva and Jung Yeon Park. 2025. Leveraging LLMs for Cognitive Skill Mapping in TIMSS Mathematics Assessment. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress, pages 223–228, Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).