Sharing Knowledge in Adaptive Learning Systems

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.

• Type: Conference
• Year: 2006
• Where: ICALT
• Authors: Milos Kravcik, Dragan Gasevic
• Keywords: Adaptive Learning, Concrete Instances, ICALT 2006, Knowledge Representation, Machine Learning