2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI'06) Course Composition Based on Semantic Topical Dependency Hong Kong, China December 18-December 22 ISBN: 0-7695-2747-7
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WI.2006.56
This paper describes an approach that can facilitate composition of course materials by machine assistance over the web using semantic web technology. A Semantic Topic Graph (STG) that encodes the conceptual knowledge metadata space is used as the front-end to the course resources. STG provides ontologies and properties of the concepts space and course materials are then connected with respect to their relation to this concept space. A course composer system is demonstrated which can intelligently compose various course materials based on pedagogical consideration. Some interesting comparisons of human guided machine-composed courses with real human composed courses in use in US graduate programs are shown.
Index Terms:
Semantic Topic Graph, RDF, Ontology, and Composition Algorithm
Citation:
Javed I. Khan, Yongbin Ma, Manas Hardas, "Course Composition Based on Semantic Topical Dependency," wi, pp.502-505, 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI'06), 2006 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||