Title :
Application of Clustering Algorithm and Rough Set in Distance Education
Author :
Qu Zhiming ; Wang Xiaoli
Author_Institution :
Sch. of Civil Eng., Hebei Univ. of Eng., Handan
Abstract :
Modern distance education is a new Web-based form of education. Enhancing personalized teaching standard of distance learning site is an important and difficult research in the development of modern distance education. Based on rough set (RS), Web learners clustering model, learning features reduction and clustering algorithm are presented, which provides a basis of personalized teaching strategies for distance learning Website. Further research is to mine and process the dynamic personality of learnerpsilas knowledge, and then to provide services on achieving real-time personalized teaching requirement.
Keywords :
Web sites; computer aided instruction; distance learning; pattern clustering; rough set theory; teaching; Web learner clustering model; distance education; distance learning Website; feature reduction; rough set theory; teaching; Application software; Civil engineering; Clustering algorithms; Computer aided instruction; Computer science; Computer science education; Distance learning; Educational technology; Standards development; Uncertainty; RS; clustering algorithm; distance education;
Conference_Titel :
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-3581-4
DOI :
10.1109/ETCS.2009.117
