Observing knowledge clustering for educational resources using a course ontology
Proceedings of the 4th international conference on Knowledge capture
Education and the Semantic Web
International Journal of Artificial Intelligence in Education
PERSONAF: framework for personalised ontological reasoning in pervasive computing
User Modeling and User-Adapted Interaction
Automatic extraction of prerequisites and learning outcome from learning material
International Journal of Metadata, Semantics and Ontologies
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SITS (Scrutable Intelligent Teaching System) is designed to make use of existing learning items in flexible and effective learning interactions. The reuse of pre-existing resources is important since creating new learning resources is a time consuming task which requires askilled author. The Internet also provides a large number of resources for reuse. A major hurdle for reuse is metadata, especially epistemological metadata since different teachers or courses may have different ontologies for a given domain. SITS takes a minimalist approach to metadata. It requires only that the author of a teaching environment should define document metadata specifying the concepts which each document teaches, requires, and uses.