Transfer Learning and Representation Discovery in Intelligent Tutoring Systems

Publication Date

2009

Journal or Book Title

ARTIFICIAL INTELLIGENCE IN EDUCATION

Abstract

We describe a novel framework developed for transfer learning within reinforcement learning (RL) problems. Then we exhibit how this framework can be extended to intelligent tutoring systems (ITS). We compose an algorithm that au- tomatically constructs a graphical representation based on the transfer framework. We evaluate this on a real-world ITS example and show that the model constructed by our approach performs better than previously published results. We propose that transfer learning is a useful and related area to explore for furthering ITS.

DOI

http://dx.doi.org/10.3233/978-1-60750-028-5-605

Pages

605-607

Volume

200

Book Series Title

Frontiers in Artificial Intelligence and Applications

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