• 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