Title :
Application of Bayesian Network in Intelligent CAI
Author :
Ma Wen-long ; Liao Jian-ping ; Yu Wen-li
Author_Institution :
Sch. of Inf. Eng., Quzhou Coll. of Technol., Quzhou, China
Abstract :
Many uncertainty factors exist in the process of building the student model in Intelligent CAI. This article adopts Bayesian Network to deal with these uncertainties. The paper emphatically analyzes the constructive process of Bayesian network in the student model and optimize the Bayesian Network by applying a algorithm to search cluster nodes, which improves the adaptability of the Intelligent CAI .
Keywords :
belief networks; computer aided instruction; pattern clustering; uncertainty handling; Bayesian network; cluster node searching; computer aided instruction; intelligent CAI; uncertainty factors; Bayesian methods; Clustering algorithms; Computer aided instruction; Knowledge engineering; Testing; Uncertainty;
Conference_Titel :
Intelligent Systems and Applications (ISA), 2011 3rd International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9855-0
Electronic_ISBN :
978-1-4244-9857-4
DOI :
10.1109/ISA.2011.5873364
