Score Report Conversational Agent to Guide Educators in Interpreting Assessment Results

Brian D. Gane, Dante I. Cisterna, Amy K. Clark


Abstract
We developed and evaluated a prototype conversational agent for teachers that can support their understanding and use of mastery-based score reports that describe a students’ academic performance. The agent prototype delivered grounded responses reflecting intended interpretation and uses, however some responses were inaccurate, signaling aspects that can be improved.
Anthology ID:
2026.aimecon-sessions.34
Volume:
Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Coordinated Session 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:
312–319
Language:
URL:
https://aclanthology.org/2026.aimecon-sessions.34/
DOI:
Bibkey:
Cite (ACL):
Brian D. Gane, Dante I. Cisterna, and Amy K. Clark. 2026. Score Report Conversational Agent to Guide Educators in Interpreting Assessment Results. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Coordinated Session Papers, pages 312–319, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).
Cite (Informal):
Score Report Conversational Agent to Guide Educators in Interpreting Assessment Results (Gane et al., AIME-Con 2026)
Copy Citation:
PDF:
https://aclanthology.org/2026.aimecon-sessions.34.pdf