Tanesia Beverly
Author directory2026
Rethinking Validity in Educational Assessment when AI Co-Produces Performance
Xiaoran Li | Tanesia Beverly
Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Coordinated Session Papers
Xiaoran Li | Tanesia Beverly
Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Coordinated Session Papers
Generative AI complicates a core assumption of assessment that observed performance reflects an individual’s own cognition. Using StudyChat, we show AI supply only moderately tracks student intent, and assignment scores are largely insensitive to either. With the disruption of validity warrant, response process validity needs reconceptualizing when AI co-produces performance.