Title :
Can Learning Object Metadata stand as Learning Resource Models for iLMS?
Author :
Oubahssi, Lahcen ; Grandbastien, Monique
Author_Institution :
Univ. du Maine, Laval
Abstract :
In this paper, we present the work done for a small company who launched a reengineering process on an existing LMS called SERPOLET in order to allow flexibility in design and interoperability with other LMS. This paper proposes a set of metadata for describing learning resources. For that purpose, we analyse the many data which are processed both by humans and machines about a digital learning resource and to use existing models from the learning sciences field to organise these data from an education perspective as well as from a technical perspective.
Keywords :
computer aided instruction; meta data; open systems; SERPOLET; digital learning resource; iLMS; interoperability; learning object metadata; learning resource models; Communication networks; Computer aided instruction; Data analysis; Data models; Economies of scale; Education; Electronic learning; Humans; Least squares approximation; Machine learning;
Conference_Titel :
Advanced Learning Technologies, 2007. ICALT 2007. Seventh IEEE International Conference on
Conference_Location :
Niigata
Print_ISBN :
0-7695-2916-X
DOI :
10.1109/ICALT.2007.88