Title :
Sharing Knowledge in Adaptive Learning Systems
Author :
M. Kravcik;D. Gasevic
Author_Institution :
Fraunhofer Institute for Applied Information Technology, Germany
fDate :
6/28/1905 12:00:00 AM
Abstract :
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
Keywords :
"Adaptive systems","Learning systems","Concrete","Logic programming","Ontologies","Logic design","Design methodology","Information technology","Art","Knowledge representation"
Conference_Titel :
Advanced Learning Technologies, 2006. Sixth International Conference on
Print_ISBN :
0-7695-2632-2
Electronic_ISBN :
2161-377X
DOI :
10.1109/ICALT.2006.1652684
