RT Journal Article
JF 2006 IEEE/WIC/ACM International Conference on Web Intelligence
YR 2006
VO 00
IS
SP 502
TI Course Composition Based on Semantic Topical Dependency
A1 Manas Hardas,
A1 Javed I. Khan,
A1 Yongbin Ma,
K1 Semantic Topic Graph
K1 RDF
K1 Ontology
K1 and Composition Algorithm
AB 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.
PB IEEE Computer Society, [URL:http://www.computer.org]
SN
LA English
DO 10.1109/WI.2006.56
LK http://doi.ieeecomputersociety.org/10.1109/WI.2006.56