Evaluating Educators’ Instructional Skills on Making Content Explicit in Instruction in a Generative AI Teaching Simulation

Shreyashi Halder, Jamie N. Mikeska, Heather Jorgenson


Abstract
This paper examines elementary educators’ instructional skills as they practice eliciting student thinking in a generative AI (GenAI) mathematics teaching simulation. Study findings indicate that educators were able to elicit some aspects of a GenAI student’s conceptual understanding and misunderstanding. Implications for using GenAI teaching simulations as a practice space and formative assessment tool to build and evaluate educators’ instructional skills are addressed.
Anthology ID:
2026.aimecon-main.66
Volume:
Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers
Month:
October
Year:
2026
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:
589–598
Language:
URL:
https://aclanthology.org/2026.aimecon-main.66/
DOI:
Bibkey:
Cite (ACL):
Shreyashi Halder, Jamie N. Mikeska, and Heather Jorgenson. 2026. Evaluating Educators’ Instructional Skills on Making Content Explicit in Instruction in a Generative AI Teaching Simulation. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pages 589–598, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).
Cite (Informal):
Evaluating Educators’ Instructional Skills on Making Content Explicit in Instruction in a Generative AI Teaching Simulation (Halder et al., AIME-Con 2026)
Copy Citation:
PDF:
https://aclanthology.org/2026.aimecon-main.66.pdf