Ph.D., Computer Science
North Carolina State University, 2010.
M.S., Industrial & Systems Engineering
Georgia Institute of Technology, 2000.
B.S., Mathematics & Computer Science
Valdosta State University, 1999.
Dr. Boyer's research focuses on how natural language dialogue and intelligent systems can support human learning across educational contexts including within and outside the classroom. Her research group builds computational models of the processes and phenomena during dialogue and learning, and these models drive the adaptivity of intelligent systems. The computational models in turn shed light on effective strategies for supporting human learning. Her group develops systems that support individual and collaborative learning, including tutorial dialogue systems, intelligent tutoring systems, and game-based learning environments. She is part of UF's interdisciplinary Online Learning Institute.
For a list of publications, please see Dr. Boyer's Google Scholar page.
Best Paper Award, International Conference on User Modelling, Adaptation, and Personalization (UMAP), 2015
National Science Foundation CAREER Award, 2014
Best Paper by a Student First Author, International Conference on Artificial Intelligence in Education, 2007
National Science Foundation Graduate Research Fellowship, 2007