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    <abstract>This study evaluates machine-learning classifiers for detecting lower justification depth in student responses from AI-supported instructional design tasks. Using 600 human-coded responses and 20 group-aware repeated train-development-test partitions, RoBERTa outperformed TF-IDF logistic regression and Complement Naive Bayes under recall-prioritized thresholding for formative assessment support.</abstract>
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%0 Conference Proceedings
%T Automated Justification-Depth Scoring for Adaptive Support in AI-Supported Instructional Tasks
%A Han, Songhee
%A Shin, Jueun
%A Han, Jiyoon
%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 han-etal-2026-automated
%X This study evaluates machine-learning classifiers for detecting lower justification depth in student responses from AI-supported instructional design tasks. Using 600 human-coded responses and 20 group-aware repeated train-development-test partitions, RoBERTa outperformed TF-IDF logistic regression and Complement Naive Bayes under recall-prioritized thresholding for formative assessment support.
%U https://aclanthology.org/2026.aimecon-main.19/
%P 179-186

Markdown (Informal)

[Automated Justification-Depth Scoring for Adaptive Support in AI-Supported Instructional Tasks](https://aclanthology.org/2026.aimecon-main.19/) (Han et al., AIME-Con 2026)

• Automated Justification-Depth Scoring for Adaptive Support in AI-Supported Instructional Tasks (Han et al., AIME-Con 2026)

ACL

• Songhee Han, Jueun Shin, and Jiyoon Han. 2026. Automated Justification-Depth Scoring for Adaptive Support in AI-Supported Instructional Tasks. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pages 179–186, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).