Special Track on Intelligent Tutoring Systems

Hausmann, Bob (Carnegie Learning, Inc.) | Hodhod, Rania (Ain Shams University) | Jackson, G. Tanner (University of Memphis)

AAAI Conferences 

Intelligent tutoring systems (ITS) is a multidisciplinary field of study that draws upon artificial intelligence, computer science, and cognitive science to create computerized tutoring systems that offer immediate feedback and individualized instruction. Broadly construed, most ITSs can be characterized as having two loops: an outer loop and an inner loop. The outer loop intelligently selects the next relevant task for the student to complete. The inner loop iterates over individual problem-solving steps and provides contextually relevant feedback and instructional guidance. The ultimate goal of an ITS is to promote deep learning that persists over time, transfers to new domains, and accelerates future learning.

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