@inproceedings{cisterna-etal-2026-developing,
title = "Developing and evaluating an {AI} agent to read and interpret learning maps",
author = "Cisterna, Dante and
Schuster, Jonathan and
Samson, Amber",
editor = "Wilson, Joshua and
Ormerod, Christopher and
Beiting-Parrish, Magdalen",
booktitle = "Proceedings of the Artificial Intelligence in Measurement and Education Conference ({AIME}-Con): Coordinated Session Papers",
month = oct,
year = "2026",
address = "Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States",
publisher = "National Council on Measurement in Education (NCME)",
url = "https://aclanthology.org/2026.aimecon-sessions.13/",
pages = "110--117",
ISBN = "979-8-9983004-2-4",
abstract = "We describe the development and evaluation of an AI conversational agent designed to interpret learning maps. Results indicate the agent can accurately identify map components and structures, especially when different informational formats are combined. Findings highlight the tool{'}s feasibility to inform the development of tools that use and interpret learning maps for teachers."
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%0 Conference Proceedings
%T Developing and evaluating an AI agent to read and interpret learning maps
%A Cisterna, Dante
%A Schuster, Jonathan
%A Samson, Amber
%Y Wilson, Joshua
%Y Ormerod, Christopher
%Y Beiting-Parrish, Magdalen
%S Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Coordinated Session Papers
%D 2026
%8 October
%I National Council on Measurement in Education (NCME)
%C Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States
%@ 979-8-9983004-2-4
%F cisterna-etal-2026-developing
%X We describe the development and evaluation of an AI conversational agent designed to interpret learning maps. Results indicate the agent can accurately identify map components and structures, especially when different informational formats are combined. Findings highlight the tool’s feasibility to inform the development of tools that use and interpret learning maps for teachers.
%U https://aclanthology.org/2026.aimecon-sessions.13/
%P 110-117
Markdown (Informal)
[Developing and evaluating an AI agent to read and interpret learning maps](https://aclanthology.org/2026.aimecon-sessions.13/) (Cisterna et al., AIME-Con 2026)
ACL
- Dante Cisterna, Jonathan Schuster, and Amber Samson. 2026. Developing and evaluating an AI agent to read and interpret learning maps. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Coordinated Session Papers, pages 110–117, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).