Generative AI Teaching Simulations as Formative Assessment Tools within Preservice Teacher Preparation

Jamie N. Mikeska, Aakanksha Bhatia, Shreyashi Halder, Tricia Maxwell, Beata Beigman Klebanov, Benny Longwill, Kashish Behl, Calli Shekell


Abstract
This paper examines how generative AI (GenAI) teaching simulations can be used as a formative assessment tool to gain insight into elementary preservice teachers’ (PSTs’) instructional abilities. This study investigated the teaching moves PSTs used to elicit student thinking in a GenAI simulation and their perceptions of the simulation’s
Anthology ID:
2025.aimecon-main.23
Volume:
Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers
Month:
October
Year:
2025
Address:
Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States
Editors:
Joshua Wilson, Christopher Ormerod, Magdalen Beiting Parrish
Venue:
AIME-Con
SIG:
Publisher:
National Council on Measurement in Education (NCME)
Note:
Pages:
212–220
Language:
URL:
https://aclanthology.org/2025.aimecon-main.23/
DOI:
Bibkey:
Cite (ACL):
Jamie N. Mikeska, Aakanksha Bhatia, Shreyashi Halder, Tricia Maxwell, Beata Beigman Klebanov, Benny Longwill, Kashish Behl, and Calli Shekell. 2025. Generative AI Teaching Simulations as Formative Assessment Tools within Preservice Teacher Preparation. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pages 212–220, Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).
Cite (Informal):
Generative AI Teaching Simulations as Formative Assessment Tools within Preservice Teacher Preparation (Mikeska et al., AIME-Con 2025)
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PDF:
https://aclanthology.org/2025.aimecon-main.23.pdf