Kylie L. Anglin

Kylie L. Anglin is an Assistant Professor in the Department of Educational Psychology at the University of Connecticut, specializing in Research Methods, Measurement, and Evaluation (RMME). She holds a Ph.D. in Education Policy from the University of Virginia (2021), an MPP in Leadership and Public Policy (2018), and a BA in Political Science (2013) from Southwestern University. Her research focuses on developing natural language processing (NLP) techniques to monitor program implementation in impact evaluations, enhancing causal validity and replicability in education research.

Dr. Anglin teaches graduate courses in research methods, data science, and text analytics. Her work has been published in journals such as the Journal of Research on Educational Effectiveness, Prevention Science, and AERA Open. She has received the NAEd/Spencer Dissertation Fellowship and participated in the IES Pre-doctoral Training Program.

Her research emphasizes scalable methods for analyzing policy variation, improving intervention adherence, and leveraging large language models for education evaluation. She actively mentors students interested in education policy or data science, and her contact details are available at kylie.anglin@uconn.edu.