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AIED
2009
Springer

Transfer Learning and Representation Discovery in Intelligent Tutoring Systems

9 years 10 months ago
Transfer Learning and Representation Discovery in Intelligent Tutoring Systems
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 automatically 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. Keywords. intelligent tutoring systems, graphical models, transfer learning, student modeling
Kimberly Ferguson, Beverly Park Woolf, Sridhar Mah
Added 25 May 2010
Updated 25 May 2010
Type Conference
Year 2009
Where AIED
Authors Kimberly Ferguson, Beverly Park Woolf, Sridhar Mahadevan
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