DocumentCode
3503850
Title
Student Model in Adaptive Learning System Based on Semantic Web
Author
Baishuang, Qiu ; Wei, Zhao
Author_Institution
Coll. of Light Ind., Hebei Polytech. Univ., Tangshan
Volume
2
fYear
2009
fDate
7-8 March 2009
Firstpage
909
Lastpage
913
Abstract
In this paper, the student model of adaptive learning system based on semantic Web has been established,which is based on theories such as cognition psychology, construction principle, humanism and utilizing ASP.NET, SQL server, data mining technology and the semantic Web excavation technology. This model mainly considers three factors including user study style, cognition level, interest and hobby and so on. The system uses protege to set up student model ontology and uses data mining technology to update student model.
Keywords
SQL; XML; cognition; computer aided instruction; data mining; network operating systems; ontologies (artificial intelligence); semantic Web; user modelling; ASP.NET; SQL server; XML; adaptive learning system; cognition psychology; construction principle; data mining; ontology; semantic Web excavation technology; student model; user study style; Adaptive systems; Cognition; Data mining; Education; Educational technology; HTML; Learning systems; Ontologies; Psychology; Semantic Web; adaptive learning system; semantic web; student;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ETCS.2009.466
Filename
4959179
Link To Document