AI for evaluation capacity: A chatbot approach to teaching logic models in government settings
Demostración | En línea
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Organizado por:
University of Illinois Urbana-Champaign
Sobre el evento
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.
Presentador/a
| Nombre | Título | Biografía |
|---|---|---|
| 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. |