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2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology
Towards Collaborative Metadata Enrichment for Adaptive Web-Based Learning
Lyon, France
August 22-August 27
ISBN: 978-0-7695-4513-4
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.
Index Terms:
Web collaboration, folksonomy, tag, learning framework
Citation:
Róbert Móro, Ivan Srba, Maroš Uncík, M´ria Bielikov´, Mari´n Šimko, "Towards Collaborative Metadata Enrichment for Adaptive Web-Based Learning," wi-iat, vol. 3, pp.106-109, 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2011
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