observing knowledge clustering for educational resources using a course ontology
In this paper we present a method to represent knowledge associated with a course and observe clustering of concepts for educational resources associated with that course. Course knowledge can be represented in the form of hierarchical prerequisite relation based weighted ontology. A novel approach for selectively processing relevant parts of the ontology is given. Design and analytical information extraction from educational resources is possible using this approach. The applicability of this method is not limited to the domain of education and can be used to analyze artifacts from any domain in which knowledge can be represented as a structured hierarchy.
educational resources course knowledge