An Ontology-Based Framework for Bridging Learning Design and Learning Content

The paper describes an ontology-based framework for bridging learning design and learning object content. In present solutions, researchers have proposed conceptual models and developed tools for both of those subjects, but without detailed discussions of how they can be used together. In this paper...

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Bibliographic Details
Published inEducational technology & society Vol. 9; no. 1; pp. 23 - 37
Main Authors Knight, Colin, Gasevic, Dragan, Richards, Griff
Format Journal Article
LanguageEnglish
Published Palmerston North International Forum of Educational Technology & Society 01.01.2006
Subjects
Case Studies
Computer Software
Computer System Design
Design
Domain ontologies
Educational activities
Educational Technology
Electronic Learning
Information Technology
Instructional Design
Knowledge Representation
Learning
Learning Strategies
Machine learning
Metadata
Ontology
Philosophical object
Program Descriptions
Programming
Programming Languages
Semantic web
Special Issue Articles
Web Based Instruction
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Summary:The paper describes an ontology-based framework for bridging learning design and learning object content. In present solutions, researchers have proposed conceptual models and developed tools for both of those subjects, but without detailed discussions of how they can be used together. In this paper we advocate the use of ontologies to explicitly specify all learning designs, learning objects, and the relations between them, and show how this use of ontologies can result in more effective (semi-)automatic tools and services that increase the level of reusability. We first define a three-part conceptual model that introduces an intermediate level between learning design and learning objects called the learning object context. We then use ontologies to facilitate the representation of these concepts: LOCO is a new ontology based on IMS-LD, ALOCoM is an existing ontology for learning objects, and LOCO-Cite is a new ontology for the learning object contextual model. We conclude by showing the applicability of the proposed framework in a use case study.
ISSN:1176-3647
1436-4522
1436-4522