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        <title>Operational Alignment of Confidence-Based Flagging Methods in Automated Scoring</title>
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    <abstract>Correct answers to math problems don’t reveal if students understand concepts or just memorized procedures. Conversation-Based Assessment (CBA) addresses this through AI dialogue, but reliable scoring requires costly pilots and specialized expertise. Our Criteria Development Platform (CDP) enables pre-pilot optimization using synthetic data, reducing development from months to days. Testing 17 math items through 68 iterations, all achieved our reliability threshold (MCC \ensuremath\geq 0.80) after refinement – up from 59% initially. Without refinement, 7 items would have remained below this threshold. By making reliability validation accessible, CDP empowers educators to develop assessments meeting automated scoring standards.</abstract>
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%0 Conference Proceedings
%T Operational Alignment of Confidence-Based Flagging Methods in Automated Scoring
%A Palermo, Corey
%A Chen, Troy
%A Wibowo, Arianto
%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 2025
%8 October
%I National Council on Measurement in Education (NCME)
%C Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States
%@ 979-8-218-84230-7
%F palermo-etal-2025-operational
%X Correct answers to math problems don’t reveal if students understand concepts or just memorized procedures. Conversation-Based Assessment (CBA) addresses this through AI dialogue, but reliable scoring requires costly pilots and specialized expertise. Our Criteria Development Platform (CDP) enables pre-pilot optimization using synthetic data, reducing development from months to days. Testing 17 math items through 68 iterations, all achieved our reliability threshold (MCC \ensuremath\geq 0.80) after refinement – up from 59% initially. Without refinement, 7 items would have remained below this threshold. By making reliability validation accessible, CDP empowers educators to develop assessments meeting automated scoring standards.
%U https://aclanthology.org/2025.aimecon-sessions.6/
%P 56-60

Markdown (Informal)

[Operational Alignment of Confidence-Based Flagging Methods in Automated Scoring](https://aclanthology.org/2025.aimecon-sessions.6/) (Palermo et al., AIME-Con 2025)

• Operational Alignment of Confidence-Based Flagging Methods in Automated Scoring (Palermo et al., AIME-Con 2025)

ACL

• Corey Palermo, Troy Chen, and Arianto Wibowo. 2025. Operational Alignment of Confidence-Based Flagging Methods in Automated Scoring. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Coordinated Session Papers, pages 56–60, Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).