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    <abstract>This paper explores how generative AI can enhance formative assessment practices in K–12 education. It examines emerging tools, ethical considerations, and practical applications to support student learning, while emphasizing the continued importance of teacher judgment and balanced assessment systems.</abstract>
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%0 Conference Proceedings
%T Generative AI in the K–12 Formative Assessment Process: Enhancing Feedback in the Classroom
%A Maksimchuk, Michael
%A Roeber, Edward
%A Store, Davie
%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 maksimchuk-etal-2025-generative
%X This paper explores how generative AI can enhance formative assessment practices in K–12 education. It examines emerging tools, ethical considerations, and practical applications to support student learning, while emphasizing the continued importance of teacher judgment and balanced assessment systems.
%U https://aclanthology.org/2025.aimecon-main.12/
%P 107-110

Markdown (Informal)

[Generative AI in the K–12 Formative Assessment Process: Enhancing Feedback in the Classroom](https://aclanthology.org/2025.aimecon-main.12/) (Maksimchuk et al., AIME-Con 2025)

• Generative AI in the K–12 Formative Assessment Process: Enhancing Feedback in the Classroom (Maksimchuk et al., AIME-Con 2025)

ACL

• Michael Maksimchuk, Edward Roeber, and Davie Store. 2025. Generative AI in the K–12 Formative Assessment Process: Enhancing Feedback in the Classroom. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pages 107–110, Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).