DocumentCode :
2090485
Title :
Tagging Learning Objects with Evolving Metadata Schemas
Author :
Sierra, Jose Luis ; Valmayor, Alfredo Fernandez
Author_Institution :
Dipt. Ing. del Software e Intel. Artificial, Univ. Complutense de Madrid, Madrid
fYear :
2008
fDate :
1-5 July 2008
Firstpage :
829
Lastpage :
833
Abstract :
This paper describes a social approach to tagging learning objects with metadata. In this approach learning objectspsila creators use a metadata schema that is extended with new categories as more and more learning objects are tagged. These new categories are made available for the rest of the creatorspsila community. The approach also lets creators restructure metadata schemas. The mechanism is also powerful enough to reify (and therefore to interoperate with) existing metadata specifications (e.g. LOM). We have tested this approach in Chasqui, a system for the production and deployment of repositories of learning objects in specialized domains, where metadata are exploited during navigation and search.
Keywords :
educational administrative data processing; meta data; Chasqui; evolving metadata schemas; learning object tagging; Collaboration; Collaborative work; Computer languages; Computer science; Electronic learning; Navigation; Production systems; Program processors; System testing; Tagging; Authoring Approach; Faceted Classification; Folksonomy; Language Processors; Metadata; Reusable Learning Objects;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Learning Technologies, 2008. ICALT '08. Eighth IEEE International Conference on
Conference_Location :
Santander, Cantabria
Print_ISBN :
978-0-7695-3167-0
Type :
conf
DOI :
10.1109/ICALT.2008.129
Filename :
4561844
Link To Document :
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