DocumentCode :
3643762
Title :
Towards Collaborative Metadata Enrichment for Adaptive Web-Based Learning
Author :
Robert Moro;Ivan Srba;Maros Uncik;M´ria Bielikov´;Mari´n Šimko
Author_Institution :
Inst. of Inf. &
Volume :
3
fYear :
2011
Firstpage :
106
Lastpage :
109
Abstract :
In recent years we have witnessed expansion of Web 2.0. Its main feature is allowing users´ collaboration in content creation using various means, e.g. annotations, discussions, wikis, blogs or tags. This approach has influenced also web-based learning, for which the term "Learning 2.0" has been introduced. In this paper we explore using tags in such systems. Tags can be used for improving of searching, categorization of web-documents, creating folksonomies and ontologies or enhancing the user-model. Another aspect of tags is that they act as a bridge between resources and users to create a social network. We integrated tags in a learning framework ALEF and experimentally evaluated their usage in education process.
Keywords :
"Collaboration","Tagging","Social network services","Semantics","Electronic learning","Data models","Ontologies"
Publisher :
ieee
Conference_Titel :
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2011 IEEE/WIC/ACM International Conference on
Print_ISBN :
978-1-4577-1373-6
Type :
conf
DOI :
10.1109/WI-IAT.2011.220
Filename :
6040817
Link To Document :
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