Ontology-based learning content repurposing

This paper investigates basic research issues that need to be addressed for developing an architecture that enables repurposing of learning objects in a flexible way. Currently, there are a number of Learning Object Content Models (e.g. the SCORM Content Aggregation Model) that define learning objects and their components in a more or less precise way. However, these models do not allow repurposing of fine-grained components (sentences, images...). We developed an ontology-based solution for content repurposing. The ontology is a solid basis for an architecture that will enable on-the-fly access to learning object components and that will facilitate repurposing these components. Categories and Subject Descriptors K.3 [Computing Milieux]: Computers and Education; H.3.m [Information Storage and Retrieval]: Miscellaneous General Terms: Learning objects

• Type: Conference
• Year: 2005
• Where: WWW
• Authors: Katrien Verbert, Dragan Gasevic, Jelena Jovanovic, Erik Duval
• Keywords: Internet Technology, Object Components, Object Content Models, SCORM Content Aggregation, WWW 2005