Amber Samson
Author directory2026
Developing and evaluating an AI agent to read and interpret learning maps
Dante Cisterna | Jonathan Schuster | Amber Samson
Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Coordinated Session Papers
Dante Cisterna | Jonathan Schuster | Amber Samson
Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Coordinated Session Papers
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.