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    <abstract>AI-enabled systems could transform item authoring for standardized assessments. We compare framework alignment and accuracy of NAEP Science items developed by two AI tools and human authors. Items from all sources had similar acceptance rates and most accepted items would require significant revision, underscoring the importance of evaluating AI-generated content.</abstract>
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%0 Conference Proceedings
%T Evaluating an AI-Item Generation Tool for NAEP Science
%A Safar, Carolina
%A Price, Mitchell
%A Ackley, Jeffery
%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 safar-etal-2026-evaluating
%X AI-enabled systems could transform item authoring for standardized assessments. We compare framework alignment and accuracy of NAEP Science items developed by two AI tools and human authors. Items from all sources had similar acceptance rates and most accepted items would require significant revision, underscoring the importance of evaluating AI-generated content.
%U https://aclanthology.org/2026.aimecon-sessions.21/
%P 203-209

Markdown (Informal)

[Evaluating an AI-Item Generation Tool for NAEP Science](https://aclanthology.org/2026.aimecon-sessions.21/) (Safar et al., AIME-Con 2026)

• Evaluating an AI-Item Generation Tool for NAEP Science (Safar et al., AIME-Con 2026)

ACL

• Carolina Safar, Mitchell Price, and Jeffery Ackley. 2026. Evaluating an AI-Item Generation Tool for NAEP Science. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Coordinated Session Papers, pages 203–209, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).