Methods for Solving Problems

Dr. David Quigley is a Research Associate in the Institute of Cognitive Science and an Assistant Professor - Adjunct in the Department of Computer Science at the University of Colorado Boulder. His research focuses on applying learning analytics techniques to develop machine learning models that analyze student activity and understanding in science classrooms. Dr. Quigley earned his Ph.D. from CU Boulder, where he contributed to projects such as the Inquiry Hub Research-Practice Partnership and the Chicago City of Learning initiative.Prior to his doctoral studies, Dr. Quigley completed his undergraduate and master’s degrees at Georgia Tech, working with the Contextual Computing Group on various projects related to human-computer interaction and educational technology.At CU Boulder, he teaches courses including "Computational Vision," "Interpersonal, Developmental, and Evolutionary Perspectives of the Mind," "Methods for Solving Problems," and "What is 'the mind' and what is artificial intelligence?" His work not only enhances educational practices but also contributes to a deeper understanding of how technology can support learning in science education.Dr. Quigley's contributions to the field of cognitive science and education technology position him as a key figure in advancing research on learning analytics and its practical applications in classroom settings.