Speaker
Gahyun Callie Sung, Ph.D., Assistant Professor, Learning Sciences and Educational Psychology, College of Education, University of Iowa

Abstract
Physiological and non-verbal data sources hold rich information about the process of human learning. I introduce the emerging field of multimodal learning analytics, and its applications for understanding the student experience in introductory programming and STEM. Using process-level data sources such as log data, wearables, video, and ecological momentary assessments (EMA), we paint a thicker description of the ‘pain points’ experienced by students, and discover its implications for learning.

Bio
Gahyun Callie Sung is an assistant professor in the Learning Sciences & Educational Psychology department at the University of Iowa, College of Education, with affiliate positions in Informatics and in Communication Sciences and Disorders. She received a PhD from Harvard University in Human Development, Learning and Teaching, and priorly an M.S. in Computational Science and Engineering from Harvard University, and an M.S. in Educational Technology from Seoul National University. Her research is focused on understanding the dynamics of emotions and cognition during learning, particularly in the context of introductory STEM, and during the use of novel technologies for learning including AI.