Abstract
This paper proposes an ontology that enables a formal definition of Learning Object (LO) content structure. The ontology extends the Abstract Learning Object Content Model (ALOCoM) with concepts from information architectures. It defines a number of concepts that represent different types of content units and it specifies their structure. Formalising structural aspects of LOs, the ontology facilitates re-purposing of LOs at different levels of content granularity, i.e. LOs in their entirety and their components. Furthermore, being a generic LO content model, the ontology serves as an integration point of heterogeneous LO content models.
Cite
CITATION STYLE
Jovanović, J., Gašević, D., Verbert, K., & Duval, E. (2005). Ontology of Learning Object Content Structure. In Frontiers in Artificial Intelligence and Applications (Vol. 125, pp. 322–329). IOS Press BV.
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