Diego Zapata-Rivera is a distinguished presidential appointee at ETS. He earned a Ph.D. in computer science (with a focus on artificial intelligence in education) from the University of Saskatchewan in 2003. His research at ETS has focused on the areas of innovations in score reporting and technology-enhanced assessment including work on adaptive learning and assessment environments, and game-based assessments. His research interests also include Bayesian student modeling, open student models, conversation-based tasks, caring assessment, virtual communities, authoring tools, and program evaluation. He has produced more than 100 publications including journal articles, book chapters, and technical papers. He has served as a reviewer for several international conferences and journals. He has been a committee member and organizer of international conferences and workshops in his research areas. He is a member of the editorial board of User Modeling and User-Adapted Interaction, an associate editor for AI for Human Learning and Behavior Change, and a former associate editor of the IEEE Transactions on Learning Technologies. Most recently, he has been invited to contribute his expertise to projects sponsored by the National Research Council, the National Science Foundation, NASA, and the U.S. Army Research Laboratory.
