University of Pittsburgh

Expanding the reach of AIED systems: Adapting to social learning processes

Affiliate Faculty
Friday, September 27, 2019 - 12:30pm - 1:00pm

Abstract: Artificial intelligence in education (AIED) systems are technologies that use artificial intelligence and machine learning to understand how students learn, and adapt the learning experience to each individual's cognitive, metacognitive, and motivational needs. In some cases, these systems have been demonstrated to be nearly as effective as human tutors and better than traditional forms of classroom instruction. However, they have primarily been used to improve individual problem-solving in well-defined domains such as math and science, through the explicit modeling and support of domain-related procedures and knowledge. My research explores ways to expand these systems to a broader set of learning processes and outcomes. In this talk, I present examples of novel applications of AIED systems, including EMBRACE, an intelligent tutoring system drawing from an embodied cognition theory of reading comprehension, and Nico, a teachable robot for mathematics learning. I discuss the implications of this work for the development of AIED systems that can better adapt to a student's social learning context.

Slides: Dr. Walker's Presentation

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