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Title Hybrid system for generating Learning Object Metadata
Authors Olivier Motelet, Nelson Baloian, José A. Pino
Publication date May 2007
Abstract Generating LOM for learning material is a
complex and tedious task to be manually completed.
Therefore, the current trend is to automate this process.
However, there are several important issues restricting this
approach. First, all the necessary information for generating
metadata values is not always available. Second, some LOM
attributes are difficult to generate in a rational and
objective manner. In order to cope with these issues, this
article suggests considering human intervention in the LOM
generation process supported by automatic processes: a
hybrid system in which both human and computer
collaborate for instantiating LOM attributes is described. In
this work, a tool implementing this proposal is implemented
as a feature of LessonMapper2, which is a graphical editor
designed to author lessons as graphs of learning resources.
Downloaded 427 times
Pages 34-42
Volume 2
Journal name Journal of Computers
Publisher Academy Publisher (Oulu, Finland)
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