Past Event

Dr. Kasia Muldner of the Department of Computing, Informatics and Decision Systems Engineering at Arizona State University will be giving a colloquium talk on Thursday, February 27th, at 11:30 a.m., in room 2203 of Dunton Tower. Refreshments will be available before the talk. All are welcome.

Talk: Personalizing instruction from educational technologies through models of student problem solving and affect

Abstract:

Educational technologies are becoming increasingly widespread in classrooms and online. To reach their full pedagogical potential, these technologies must recognize a given student’s skills and individual learning needs, and personalize instruction accordingly. In this talk, I will describe my work on the design and evaluation of models that unobtrusively detect students’ cognitive, metacognitive and affective states during various problem-solving activities. I will also show how educational technologies can use student model information to tailor instruction in ways that foster learning, effective meta-cognitive strategies, and positive affect.

Bio:

Kasia Muldner is a Research Scientist in the School of Computing, Informatics, and Decision Systems Engineering at Arizona State University. She received her PhD from the Laboratory for Computational Intelligence at the University of British Columbia. Her research centers around various interdisciplinary projects related to learning and cognition, focusing on student modeling, Intelligent Tutoring Systems, collaborative learning contexts, and recently, educational games and creativity. Her work has been recognized through several best paper awards, including the annual James Chen User Modeling and User Adapted Interaction (UMUAI) award given to the best journal paper in this venue.