AI for evaluation capacity: A chatbot approach to teaching logic models in government settings

Demonstration | Online

About the Event

This session demonstrates a scenario-based AI chatbot developed with the City of Chicago to teach logic models to public-sector staff. Adapting the “My Rich Uncle” scenario into an interactive learning experience, the chatbot helps users work through inputs, activities, outputs, and outcomes in a low-stakes format. The session examines its value for evaluation capacity building in government, along with practical considerations for responsible AI use, including transparency, data sensitivity, and human judgment.

Speakers

名称 标题 Biography
Xinru Yan PhD Student, University of Illinois Urbana-Champaign Xinru Yan is a PhD student in Educational Psychology at the University of Illinois Urbana-Champaign. Her work focuses on AI literacy in evaluation and public-sector applications. She developed an AI chatbot to support evaluation capacity building in the City of Chicago.

Topics and Themes

Evaluators Evaluation users Decision makers 专家学者 Students Yearly Theme: Evaluation, Evidence and Trust in the Age of AI

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