Personalized Intelligent Tutoring System Using Reinforcement Learning

AAAI Publications, Twenty-Fourth International FLAIRS Conference

Ankit Malpani, Balaraman Ravindran, Hema Murthy

Last modified: 2011-03-21

Abstract

In this paper, we present a Personalized Intelligent Tutoring System that uses Reinforcement Learning techniques to implicitly learn teaching rules and provide instructions to students based on their needs. The system works on coarsely labeled data with minimum expert knowledge to ease extension to newer domains.

Full Text: PDF