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
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;
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.2009.466
