Harnessing the Power of Artificial Intelligence (AI) to Support Teachers

Formative feedback can improve both teachers’ instruction and their students’ outcomes. Yet, the average teacher in the U.S. has limited access to such feedback because conventional classroom observations are labor intensive, costly and subject to evaluators’ bias. Jing Liu, assistant professor of education policy at the University of Maryland College of Education, offers an affordable, scalable and effective tool called M-Powering Teachers to complement human-based classroom observation tools. Combining cutting-edge machine learning, rich educational theory and behavioral sciences, M-Powering Teachers creates automated measures on complex teaching practices and provides educators with nuanced, specific, actionable feedback.
Speaker: Jing Liu, Assistant Professor, Education Policy
More about Jing Liu: education.umd....
University of Maryland College of Education
Terrapin EdTalks 2023: Elevating Teachers and Teaching