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

Demostración | En línea

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.

Temas

Evaluadores Usuarios de evaluación Responsables de la toma de decisiones Académicos Estudiantes Tema anual: Evaluación, evidencia y confianza en la era de la IA

Detalles del evento

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