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Personalized intelligent tutoring system using reinforcement learning
Date Issued
09-09-2011
Author(s)
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. Copyright © 2011, Association for the Advancement of Artificial Intelligence. All rights reserved.