Special Track on Intelligent Tutoring Systems

Researchers in the field of intelligent tutoring systems (ITS) seek to create computerized tutors that can rival the learning gains produced by human tutoring, the most effective form of instruction known. The goal of the researchers is to produce ITS that provide flexible, efficient, individualized instruction to every student. Pursuit of this common goal has led them to examine many different aspects of how students learn from tutors, how human tutors interact with their students, and how students learn in collaborative environments. Insights from those studies have informed further research into ways that computer systems can detect and respond to student knowledge gaps, misconceptions, affective states and other attributes. This research has produced important work in student modeling, knowledge representation, dialog systems, and authoring tools for efficiently creating ITS in new domains.