Michelene T. H. Chi is a cognitive and learning scientist known for her work on the development of expertise, benefits of self-explanations, and active learning in the classroom. Chi is the Regents Professor, Dorothy Bray Endowed Professor of Science and Teaching at Arizona State University, where she directs the Learning and Cognition Lab. Chi received the 2019 David E. Rumelhart Prize for significant theoretical contributions to human cognition. Her award citation emphasizes how Chi challenged basic assumptions about the human mind and developed new approaches that have shaped a generation of cognitive and learning scientists. Other awards include the 1982 Boyd McCandless Award from the American Psychological Association for early career contributions to developmental psychology and the 2013 Sylvia Scribner Award from the American Educational Research Association for research in the field of learning and instruction. Chi received 2015 E. L.Thorndike Award from the American Psychological Association for lifetime research contributions and the 2016 AERA Distinguished Contributions to Research in Education Award. Chi has co-edited several books including The Nature of Expertise, Trends in Memory Development Research, and the Handbook of Applied Cognition.
Chi's research focuses on active learning and student engagement in STEM subjects. Her research team has explored numerous factors associated with student learning, including benefits of self-explanations, human tutoring, and watching videos of student-teacher dialogues. Chi and her colleagues have proposed that children have difficulties learning scientific concepts due to a lack of reference to these concepts within their daily lives. Scientific material is hard to grasp because the material learned in the classroom does not normally relate to the daily events, phenomena, and environments children use to understand causality. Chi developed a theoretical framework for active learning called ICAP. ICAP framework defines and categorizes student engagement behaviors towards educational material into four modes: collaborative / Interactive, generative / Constructive, manipulative / Active, attentive / Passive. The ICAP hypothesizes that as students become more engaged with the learning materials when their engagement moves from passive to active to constructive to interactive. Students' learning will also increase as they move through each mode. Chi's paper Why students learn more from dialogue- than monologue-videos: Analyses of peer interactions was awarded Best Paper published in Journal of the Learning Sciences Award by International Society of the Learning Sciences in 2017. This paper used the ICAP framework as means of understanding why students learn more from watching tutorial dialogue-videos than lecture-style monologue-videos.
Representative Publications
Chi, M. T., Bassok, M., Lewis, M. W., Reimann, P., & Glaser, R.. Self-explanations: How students study and use examples in learning to solve problems. Cognitive Science, 13, 145-182.
Chi, M. T., De Leeuw, N., Chiu, M. H., & LaVancher, C.. Eliciting self-explanations improves understanding. Cognitive Science, 18, 439-477.
Chi, M. T., Feltovich, P. J., & Glaser, R.. Categorization and representation of physics problems by experts and novices. Cognitive Science, 5, 121-152.
Chi, M. T., Siler, S. A., Jeong, H., Yamauchi, T., & Hausmann, R. G.. Learning from human tutoring. Cognitive Science, 25, 471-533.
Chi, M. T., & Wylie, R.. The ICAP framework: Linking cognitive engagement to active learning outcomes. Educational psychologist, 49, 219-243.