This seminar explores topics related to the development of intelligent computer systems to facilitate learning. An overview of recent work on intelligent tutoring systems and other intelligent systems to promote learning will be followed by reading of recent literature in the field. Discussions will focus on several core modes of activity that can produce learning: watching/listening, doing, reflecting, and conversing. We will consider how each activity form can be facilitated to increase the likelihood of significant learning and also try to understand better the boundary conditions under which each activity can promote learning. Special attention will be paid to methods for analyzing job roles - deciding what to teach. Special attention will also be paid to learning-by-doing approaches.
Prerequisites: Students should have the equivalent of two or three of the cognitive psychology graduate cognitive core courses or else one cognitive psychology course and one artificial intelligence course. Contact the instructor for details.
Recitations: none
Expected class size:
Frequency:
Credits: 3