DocumentCode
2223103
Title
Application of clustering algorithm in the feature analysis of network learning behavior
Author
Wenshan, Wei ; Haihua, Li
Author_Institution
Sch. of Phys. & Electron. Eng., Guangxi Univ. for Nat., Nanning, China
Volume
4
fYear
2010
fDate
20-22 Aug. 2010
Abstract
Cluster analyses learning behavior feature of learners in the network learning, using clustering algorithm, classify learning behavior feature of learners, construct learner model library and provide a reference to education policy-makers so that they can make timely scientific, rational, and personalized teaching strategies, based on the personality feature of learners, and achieve personalized and intelligent of network education.
Keywords
behavioural sciences computing; educational administrative data processing; pattern clustering; teaching; clustering algorithm; education policy makers; learner model library; network education; network learning behavior feature analysis; personalized teaching strategy; Databases; Legged locomotion; clustering algorithm; feature analysis; learning behavior; network learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location
Chengdu
ISSN
2154-7491
Print_ISBN
978-1-4244-6539-2
Type
conf
DOI
10.1109/ICACTE.2010.5579334
Filename
5579334
Link To Document