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12

ICALT
2006
IEEE

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Sharing Knowledge in Adaptive Learning Systems

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Sharing Knowledge in Adaptive Learning Systems

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In this paper we deal with knowledge representation in the area of learning design and adaptive learning. Specification of concrete instances is usually context-dependent and does not support reusability very well, thus we need to represent the knowledge that could help us in generating the instances dynamically.

Milos Kravcik, Dragan Gasevic

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Adaptive Learning | Concrete Instances | ICALT 2006 | Knowledge Representation | Machine Learning |

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Added	11 Jun 2010
Updated	11 Jun 2010
Type	Conference
Year	2006
Where	ICALT
Authors	Milos Kravcik, Dragan Gasevic

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