Kylie Anglin

Associate Professor | Research Methods, Measurement, and Evaluation

Dr. Anglin is an Assistant Professor of Research Methods, Measurement, and Evaluation in the Neag School of Education. Her research develops methods for using natural language processing to understand educational processes, as well as methods for improving the causal validity and replicability of impact estimates. Her work has appeared in journals such as the Journal of Research on Educational Effectiveness, Prevention Science, and AERA Open, and Evaluation Review. She received her Ph.D. from the University of Virginia, where she participated in the Institute for Education Sciences (IES) Pre-doctoral Training Program and received an NAEd/Spencer dissertation fellowship.

Courses in Data Science

  1. Dependent Data Analysis
  2. Talent Analytics


Contact Information