Using IMS VDEX in Agrega

Authors

  • Antonio Sarasa Full time professor
  • Jose Manuel Canabal Area Responsible - Application, Content, Training and Digital Context Projects at red.es
  • Juan Carlos Sacristan Projects Coordinator
  • Raquel Jimenez Projects Coordinator

DOI:

https://doi.org/10.3991/ijet.v4i0.806

Keywords:

IMS VDEX, taxonomies, learning objects, digital repositories

Abstract


An essential element in a learning object repository is the meta-information associated with the resources housed by the repository, as this is what enables the objects to be retrieved. In many cases, the meta-information which is described consists of the classification of a resource in relation to a taxonomy or thesaurus. Agrega is a network of learning object repositories in which an LOM profile, called LOM-ES, has been used to label the objects. Part of the meta-information described corresponds to the classification of the object with respect to a group of taxonomies and a thesaurus, which have had to be described using the ims vdex standard to enable them to be managed from the federation nodes. This article describes the way in which ims vdex has been used in order to create this description and how these metadata instances are managed.

Author Biographies

Antonio Sarasa, Full time professor

Departamento de Sistemas Informáticos y Computación Facultad de Informática Universidad Complutense de Madrid

Jose Manuel Canabal, Area Responsible - Application, Content, Training and Digital Context Projects at red.es

Aplicaciones, Formación y Contenidos Sociedad y Economía Digital Dirección de Operaciones Red.es

Juan Carlos Sacristan, Projects Coordinator

Aplicaciones, Formación y Contenidos Sociedad y Economía Digital Dirección de Operaciones Red.es

Raquel Jimenez, Projects Coordinator

Aplicaciones, Formación y Contenidos Sociedad y Economía Digital Dirección de Operaciones Red.es

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Published

2009-03-02

How to Cite

Sarasa, A., Canabal, J. M., Sacristan, J. C., & Jimenez, R. (2009). Using IMS VDEX in Agrega. International Journal of Emerging Technologies in Learning (iJET), 4, pp. 18–23. https://doi.org/10.3991/ijet.v4i0.806

Issue

Section

Special Focus Papers