About This Event
Participants will identify approaches for collecting and using data to evaluate AI implementation efforts and support continuous improvement within educator preparation programs.
AI implementation is an ongoing process that requires reflection, monitoring, and adaptation. This session examines how educator preparation programs can use data to evaluate AI initiatives, understand impact, and inform continuous improvement efforts. Participants will explore strategies for gathering meaningful evidence, monitoring outcomes, and using data to guide responsible decision-making over time.
Featured Speakers
Dr. Kate Herman
Associate Director, The Residency Lab
Dr. Kate taught both special and general education in Pennsylvania, Colorado, and the Netherlands. She believes residencies have the power to prepare all teachers to be inclusive.
Halley Maza
Director of Learning, Innovation, and Research, Center for Reaching and Teaching
Halley Maza serves as Director of Learning Innovation and Research at CRTWC and is an adjunct faculty member at the University at Buffalo (UB). With over 15 years of experience across school counseling, mental health services, curriculum design, and teacher education, Dr. Maza brings a grounded research perspective to designing and researching practices that integrate social, emotional, and cultural learning into educator development.
Other Events in This Series
Foundations for AI Usage in Educator Preparation Session 1
September 18, 2026
Equitable AI Systems in Educator Preparation Session 2
November 13, 2026
Partnerships & Governance's Role in AI in Educator Preparation Session 3
January 15, 2027
The Role of AI in Coursework & Instructional Practice in Educator Preparation Session 4
March 19, 2027
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