Jamie N. Mikeska

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2025

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Towards evaluating teacher discourse without task-specific fine-tuning data
Beata Beigman Klebanov | Michael Suhan | Jamie N. Mikeska
Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers

Teaching simulations with feedback are one way to provide teachers with practice opportunities to help improve their skill. We investigated methods to build evaluation models of teacher performance in leading a discussion in a simulated classroom, particularly for tasks with little performance data.

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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
Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers

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
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