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        <title>Comparing θ Representation Strategies for Reconstructing Item Characteristic Curves</title>
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    <abstract>We examine how strategies for representing student skill (θ) affect IRT-3PL item-parameter recovery from reconstructed item characteristic curves. We compare natural-language descriptors with signed decimal and scientific-notation anchors across anchor counts and placements. Our results show that dense numeric grids improve recovery, while non-uniform placements produce parameter-specific trade-offs, showing that θ representation matters.</abstract>
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%0 Conference Proceedings
%T Comparing θ Representation Strategies for Reconstructing Item Characteristic Curves
%A Nam, Sungjin
%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 nam-2026-comparing
%X We examine how strategies for representing student skill (θ) affect IRT-3PL item-parameter recovery from reconstructed item characteristic curves. We compare natural-language descriptors with signed decimal and scientific-notation anchors across anchor counts and placements. Our results show that dense numeric grids improve recovery, while non-uniform placements produce parameter-specific trade-offs, showing that θ representation matters.
%U https://aclanthology.org/2026.aimecon-wip.7/
%P 52-56

Markdown (Informal)

[Comparing 𝜃 Representation Strategies for Reconstructing Item Characteristic Curves](https://aclanthology.org/2026.aimecon-wip.7/) (Nam, AIME-Con 2026)

• Comparing 𝜃 Representation Strategies for Reconstructing Item Characteristic Curves (Nam, AIME-Con 2026)

ACL

• Sungjin Nam. 2026. Comparing 𝜃 Representation Strategies for Reconstructing Item Characteristic Curves. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress, pages 52–56, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).