Assessment Use Guide Builder: Leveraging Use Cases to Generate Interpretive Assessment Materials

Yaning Cao, Nathan Dadey


Abstract
This study presents a Generative AI (GenAI) tool designed to create educator-facing interpretive materials, referred to as use guides, tailored to specific use cases. Through a four-step workflow, system prompt design, embedded guardrails, and three-round refinement, the tool produces context-specific, data-grounded interpretations and actionable recommendations.
Anthology ID:
2026.aimecon-main.39
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:
355–364
Language:
URL:
https://aclanthology.org/2026.aimecon-main.39/
DOI:
Bibkey:
Cite (ACL):
Yaning Cao and Nathan Dadey. 2026. Assessment Use Guide Builder: Leveraging Use Cases to Generate Interpretive Assessment Materials. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pages 355–364, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).
Cite (Informal):
Assessment Use Guide Builder: Leveraging Use Cases to Generate Interpretive Assessment Materials (Cao & Dadey, AIME-Con 2026)
Copy Citation:
PDF:
https://aclanthology.org/2026.aimecon-main.39.pdf