DocumentCode :
3637650
Title :
An Approach for the Personalization of Exercises Based on Contextualized Attention Metadata and Semantic Web technologies
Author :
Pedro J. Munoz-Merino;Carlos Delgado Kloos;Martin Wolpers;Martin Friedrich;Mario Munoz-Organero
Author_Institution :
Dept. of Telematic Eng., Carlos III Univ. of Madrid, Leganes, Spain
fYear :
2010
Firstpage :
89
Lastpage :
91
Abstract :
The generation of Contextualized Attention Metadata (CAM) allows to retrieve information about the different actions that users execute over different resources in a specific context. This paper presents how CAM is used within a learning system to personalize help provided to students while working on online exercises. We outline our approach and present two application examples within this framework for the personalization of exercises with hints.
Keywords :
"Computer aided manufacturing","Learning systems","Ontologies","Resource description framework","Conferences"
Publisher :
ieee
Conference_Titel :
Advanced Learning Technologies (ICALT), 2010 IEEE 10th International Conference on
Print_ISBN :
978-1-4244-7144-7
Type :
conf
DOI :
10.1109/ICALT.2010.32
Filename :
5571160
Link To Document :
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