DocumentCode
2178666
Title
A semantic lifecycle approach to learning object repositories
Author
Sicilia, Miguel-Angel ; García-Barriocanal, Elena ; Sanchez-Alonso, Salvador ; Soto, Jesús
Author_Institution
Univ. of Alcala, Alcala De Henares, Spain
fYear
2005
fDate
17-20 July 2005
Firstpage
466
Lastpage
471
Abstract
Learning object repositories play a key role in the vision of reusable learning contents and learning designs, serving as providers for learning-oriented artefacts. Nevertheless, current metadata creation practices result in artefact collections that lack machine-understandable metadata, which seriously hampers opportunities for reuse. Semantic Web ontologies can be used to improve the quality of learning object metadata records, but they are not enough by themselves. In order to respond to requests by returning adequate resources, the repository is required to be aware of the amount, type and quality of the metadata records it stores. The design of a learning object repository approach to "semantic lifecycle" is described and illustrated through the concrete architecture of the prototype of the SLOR (semantic learning object repository).
Keywords
educational aids; educational computing; meta data; semantic Web; education; learning designs; learning object metadata records; learning object repositories; learning-oriented artefacts; machine-understandable metadata; metadata creation practices; reusable learning contents; semantic Web ontologies; semantic learning object repository; semantic lifecycle approach; Concrete; Least squares approximation; Machine learning; Mass customization; Natural languages; Ontologies; Prototypes; Quality assessment; Semantic Web; Software agents;
fLanguage
English
Publisher
ieee
Conference_Titel
Telecommunications, 2005. advanced industrial conference on telecommunications/service assurance with partial and intermittent resources conference/e-learning on telecommunications workshop. aict/sapir/elete 2005. proceedings
Print_ISBN
0-7695-2388-9
Type
conf
DOI
10.1109/AICT.2005.13
Filename
1517672
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