James Drimalla


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2025

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Comparative Study of Double Scoring Design for Measuring Mathematical Quality of Instruction
Jonathan Kyle Foster | James Drimalla | Nursultan Japashov
Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers

The integration of automated scoring and addressing whether it might meet the extensive need for double scoring in classroom observation systems is the focus of this study. We outline an accessible approach for determining the interchangeability of automated systems within comparative scoring design studies.