Abstract
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.
Original language | English |
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Title of host publication | 14th International World Wide Web Conference, WWW2005 |
Publisher | Association for Computing Machinery (ACM) |
Pages | 1140-1141 |
Number of pages | 2 |
ISBN (Print) | 1595930515, 9781595930514 |
DOIs | |
Publication status | Published - 2005 |
Externally published | Yes |
Event | International World Wide Web Conference 2005 - Chiba, Japan Duration: 10 May 2005 → 14 May 2005 Conference number: 14th https://dl.acm.org/doi/proceedings/10.1145/1060745 (Proceedings) |
Conference
Conference | International World Wide Web Conference 2005 |
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Abbreviated title | WWW 2005 |
Country/Territory | Japan |
City | Chiba |
Period | 10/05/05 → 14/05/05 |
Internet address |
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Keywords
- Content models
- Learning objects
- Metadata
- Ontologies
- Repurposing