Dr. Stephen AguiIar is an Assistant Professor of Education in the Educational Psychology concentration. His areas of expertise include educational data science and the implementation of educational technologies. He specializes in learning analytics, data visualizations, and gameful approaches to teaching and learning.

His research focuses on the design, efficacy, and motivational implications of learning analytics-based applications, and how they can be used in ways that promote social justice and educational achievement among minority students. Specifically, Aguilar studies how data visualizations of academic achievement influence students’ academic motivation and self-regulated learning strategies.

Aguilar received a B.A. in Philosophy and Psychology from Georgetown University, a M.A. in the Humanities (Philosophy) from the University of Chicago, and a Ph.D. in Education and Psychology from the University of Michigan. Previously, he taught sixth and seventh grade in East Palo Alto, California and served as the Director of Institute Technology for Teach For America-Los Angeles’s summer institute.