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        <title>Source-Text-Conditioned Cloze Generation for Discourse Comprehension Assessment in Intelligent Textbooks</title>
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            <namePart type="given">Joshua</namePart>
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            <namePart type="given">Magdalen</namePart>
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    <abstract>Cloze exercises offer scalable comprehension assessment, but their validity depends on which words are selected as gaps. We compared three automated methods for cloze exercises generated from summaries within an intelligent textbook platform. Conditioning masked language model predictions on the source text (contextuality-plus) produced higher quality and more source-dependent gaps.</abstract>
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%0 Conference Proceedings
%T Source-Text-Conditioned Cloze Generation for Discourse Comprehension Assessment in Intelligent Textbooks
%A Holmes, Langdon
%A Morris, Wesley
%A Crossley, Scott Andrew
%A Min, Aiden
%Y Wilson, Joshua
%Y Ormerod, Christopher
%Y Beiting-Parrish, Magdalen
%S Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers
%D 2026
%8 October
%I National Council on Measurement in Education (NCME)
%C Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States
%@ 979-8-9983004-0-0
%F holmes-etal-2026-source
%X Cloze exercises offer scalable comprehension assessment, but their validity depends on which words are selected as gaps. We compared three automated methods for cloze exercises generated from summaries within an intelligent textbook platform. Conditioning masked language model predictions on the source text (contextuality-plus) produced higher quality and more source-dependent gaps.
%U https://aclanthology.org/2026.aimecon-main.59/
%P 525-533

Markdown (Informal)

[Source-Text-Conditioned Cloze Generation for Discourse Comprehension Assessment in Intelligent Textbooks](https://aclanthology.org/2026.aimecon-main.59/) (Holmes et al., AIME-Con 2026)

• Source-Text-Conditioned Cloze Generation for Discourse Comprehension Assessment in Intelligent Textbooks (Holmes et al., AIME-Con 2026)

ACL

• Langdon Holmes, Wesley Morris, Scott Andrew Crossley, and Aiden Min. 2026. Source-Text-Conditioned Cloze Generation for Discourse Comprehension Assessment in Intelligent Textbooks. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pages 525–533, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).