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        <title>Efficacy of Student–AI Co-Authored Math Word Problems in an Intelligent Tutoring System</title>
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    <abstract>We evaluated student (N = 1,361) interest and performance on student-AI co-authored math word problems. Performance matched or exceeded standard problems. Students rated peer-authored problems more often, especially when authorship was disclosed. Liking predicted first-attempt accuracy when problems required greater textual engagement, supporting interest-based context personalization.</abstract>
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%0 Conference Proceedings
%T Efficacy of Student–AI Co-Authored Math Word Problems in an Intelligent Tutoring System
%A Norberg, Kole
%A Murphy, April
%A Fancsali, Steve
%A Ritter, Steve
%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 norberg-etal-2026-efficacy
%X We evaluated student (N = 1,361) interest and performance on student-AI co-authored math word problems. Performance matched or exceeded standard problems. Students rated peer-authored problems more often, especially when authorship was disclosed. Liking predicted first-attempt accuracy when problems required greater textual engagement, supporting interest-based context personalization.
%U https://aclanthology.org/2026.aimecon-wip.50/
%P 389-396

Markdown (Informal)

[Efficacy of Student–AI Co-Authored Math Word Problems in an Intelligent Tutoring System](https://aclanthology.org/2026.aimecon-wip.50/) (Norberg et al., AIME-Con 2026)

• Efficacy of Student–AI Co-Authored Math Word Problems in an Intelligent Tutoring System (Norberg et al., AIME-Con 2026)

ACL

• Kole Norberg, April Murphy, Steve Fancsali, and Steve Ritter. 2026. Efficacy of Student–AI Co-Authored Math Word Problems in an Intelligent Tutoring System. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress, pages 389–396, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).