Paper Info
Title
An Approach for the Personalization of Exercises Based on Contextualized Attention Metadata and Semantic Web technologies
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.
Year
DOI
Venue
2010
10.1109/ICALT.2010.32
ICALT
Keywords
Field
DocType
online exercise,semantic web technology,contextualized attention,different resource,specific context,different action,application example,resource description framework,semantic web,meta data,computer aided manufacturing,ontologies
Computer-aided manufacturing,Ontology (information science),Metadata,World Wide Web,Computer science,Semantic Web,Knowledge management,Multimedia,RDF,Personalization
Conference
Citations 
PageRank 
References 
3
0.52
4
Authors
5
Name
Order
Citations
PageRank
Pedro J. Munoz-Merino1252.83
Carlos Delgado Kloos21121172.07
Martin Wolpers396888.85
Martin Friedrich411813.02
Mario Munoz-Organero57311.70