On the use of an IMS LD ontology for creating and executing Units of Learning: Application to the Astronomy case study

Authors

  • Eduardo Sánchez Intelligent System Group. Dept. Electronics and Computer Science, School of Physics. Universidade de Santiago de Compostela. Santiago de Compostela, A Coruña
  • Manuel Lama Intelligent System Group. Dept. Electronics and Computer Science, School of Physics. Universidade de Santiago de Compostela. Santiago de Compostela, A Coruña
  • Ricardo R. Amorim UNEB/FACAPE. Universidade do Estado da Bahia. Rua Silveira Martins, 2555, Cabula. Salvador-BA. Estado da Bahia
  • Juan Carlos Vidal Intelligent System Group. Dept. Electronics and Computer Science, School of Physics. Universidade de Santiago de Compostela. Santiago de Compostela, A Coruña
  • Adrián Novegil Intelligent System Group. Dept. Electronics and Computer Science, School of Physics. Universidade de Santiago de Compostela. Santiago de Compostela, A Coruña

DOI:

https://doi.org/10.5334/2008-21

Keywords:

IMS Learning Design, ontologies, authoring tools, execution engines, workflows, Petri nets, units of learning,

Abstract

This paper describes how the Astronomy case study is modelled, created and executed, using a IMS LD ontology. The ontology was aimed at overcoming the expressiveness limitations of the IMS LD XML Schema by means of a taxonomy of concepts and a set of formally defined axioms. With regard to the authoring (creation) stage, the ontology has been used to enable the automatic validation of IMS LD documents in WebLD, a web authoring tool to create IMS LD Units of Learning. With regard to the execution stage, a service-oriented architecture was developed to allow the execution of IMS LD Units of Learning, whose learning processes have been modelled through Petri Nets.

Editors: Laurence Vignollet (Universitè de Savoie, France)

Downloads

Published

2008-12-19