Special Track on Intelligent Tutoring Systems

Intelligent tutoring systems emerge from a multidisciplinary field of study that draws upon artificial intelligence, computer science, and cognitive science to create instructional technologies that offer immediate feedback and individualized instruction. Broadly construed, most intelligent tutoring systems 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 intelligent tutoring system is to promote deep learning that persists over time, transfers to new domains, and accelerates future learning.