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