DocumentCode
2326640
Title
Grouping Strategy of Collaborative Learning: Cluster Analysis
Author
Liu, Aihong
Author_Institution
Sch. of Inf. Technol., Jiangxi Univ. of Finance & Econ., Nanchang
fYear
2009
fDate
23-24 May 2009
Firstpage
1
Lastpage
5
Abstract
On the basis of basic concept, characteristics and components of collaborative learning, this paper presents the importance of collaborative learning grouping, and then proposes an intelligent grouping method based on cluster analysis technology. At first, the paper introduces grouping criteria and methods centering on grouping strategy. Secondly, the paper presents concept of cluster analysis, variables selection and two grouping mode selection (Once-for-all mode and Real-time mode). Cluster grouping validation analysis shows the proposed method is efficient and follows the criteria of "heterogeneous in group, homogeneous among groups".
Keywords
computer aided instruction; groupware; statistical analysis; cluster analysis; collaborative learning; grouping strategy; Artificial intelligence; Collaboration; Collaborative work; Communication effectiveness; Education; Finance; Forward contracts; Information analysis; Information technology; Learning systems;
fLanguage
English
Publisher
ieee
Conference_Titel
E-Business and Information System Security, 2009. EBISS '09. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-2909-7
Electronic_ISBN
978-1-4244-2910-3
Type
conf
DOI
10.1109/EBISS.2009.5137992
Filename
5137992
Link To Document