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    <abstract>This study examined whether rubric-aligned generative-AI features could augment established linguistic features in trait-based automated essay scoring. Features from both sources showed meaningful associations with human scores and only partial overlap with one another. Scoring models combining both feature sets produced modest improvements that varied across traits and evaluation metrics.</abstract>
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%0 Conference Proceedings
%T Rubric-Aligned Generative-AI Features as Supplementary Predictors in Feature-Based Automated Essay Scoring
%A Huang, Yue
%A Yan, Duanli
%A Palermo, Corey
%Y Wilson, Joshua
%Y Ormerod, Christopher
%Y Beiting-Parrish, Magdalen
%S Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Coordinated Session Papers
%D 2026
%8 October
%I National Council on Measurement in Education (NCME)
%C Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States
%@ 979-8-9983004-2-4
%F huang-etal-2026-rubric
%X This study examined whether rubric-aligned generative-AI features could augment established linguistic features in trait-based automated essay scoring. Features from both sources showed meaningful associations with human scores and only partial overlap with one another. Scoring models combining both feature sets produced modest improvements that varied across traits and evaluation metrics.
%U https://aclanthology.org/2026.aimecon-sessions.26/
%P 241-250

Markdown (Informal)

[Rubric-Aligned Generative-AI Features as Supplementary Predictors in Feature-Based Automated Essay Scoring](https://aclanthology.org/2026.aimecon-sessions.26/) (Huang et al., AIME-Con 2026)

• Rubric-Aligned Generative-AI Features as Supplementary Predictors in Feature-Based Automated Essay Scoring (Huang et al., AIME-Con 2026)

ACL

• Yue Huang, Duanli Yan, and Corey Palermo. 2026. Rubric-Aligned Generative-AI Features as Supplementary Predictors in Feature-Based Automated Essay Scoring. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Coordinated Session Papers, pages 241–250, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).