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    <abstract>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.</abstract>
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%0 Conference Proceedings
%T Comparative Study of Double Scoring Design for Measuring Mathematical Quality of Instruction
%A Foster, Jonathan Kyle
%A Drimalla, James
%A Japashov, Nursultan
%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 2025
%8 October
%I National Council on Measurement in Education (NCME)
%C Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States
%@ 979-8-218-84228-4
%F foster-etal-2025-comparative
%X 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.
%U https://aclanthology.org/2025.aimecon-main.18/
%P 163-171

Markdown (Informal)

[Comparative Study of Double Scoring Design for Measuring Mathematical Quality of Instruction](https://aclanthology.org/2025.aimecon-main.18/) (Foster et al., AIME-Con 2025)

• Comparative Study of Double Scoring Design for Measuring Mathematical Quality of Instruction (Foster et al., AIME-Con 2025)

ACL

• Jonathan Kyle Foster, James Drimalla, and Nursultan Japashov. 2025. Comparative Study of Double Scoring Design for Measuring Mathematical Quality of Instruction. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pages 163–171, Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).