@inproceedings{walker-choi-2026-exploring,
title = "Exploring {AI}-driven Methods for Pre-calibrating Difficulty of Mathematics Items with Visual Content",
author = "Walker, Leah and
Choi, Jinnie",
editor = "Wilson, Joshua and
Ormerod, Christopher and
Beiting-Parrish, Magdalen",
booktitle = "Proceedings of the Artificial Intelligence in Measurement and Education Conference ({AIME}-Con): Works in Progress",
month = oct,
year = "2026",
address = "Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States",
publisher = "National Council on Measurement in Education (NCME)",
url = "https://aclanthology.org/2026.aimecon-wip.19/",
pages = "145--151",
ISBN = "979-8-9983004-1-7",
abstract = "Use of AI is bringing efficiencies in replacing previously laborious field- testing with scaled item parameter pre- calibration, especially in language assessment. However, gaps in research exist in replicating this accomplishment for mathematics assessment items with visual content. This study explores the methodological options of using AI in pre-calibrating multimodal mathematics items."
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%0 Conference Proceedings
%T Exploring AI-driven Methods for Pre-calibrating Difficulty of Mathematics Items with Visual Content
%A Walker, Leah
%A Choi, Jinnie
%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 walker-choi-2026-exploring
%X Use of AI is bringing efficiencies in replacing previously laborious field- testing with scaled item parameter pre- calibration, especially in language assessment. However, gaps in research exist in replicating this accomplishment for mathematics assessment items with visual content. This study explores the methodological options of using AI in pre-calibrating multimodal mathematics items.
%U https://aclanthology.org/2026.aimecon-wip.19/
%P 145-151
Markdown (Informal)
[Exploring AI-driven Methods for Pre-calibrating Difficulty of Mathematics Items with Visual Content](https://aclanthology.org/2026.aimecon-wip.19/) (Walker & Choi, AIME-Con 2026)
ACL