• DocumentCode
    1572227
  • Title

    Clustering learners according to their collaboration

  • Author

    Anaya, Antonio R. ; Boticario, Jesús G.

  • Author_Institution
    E.T.S.I.I., Ciudad Univ., Madrid
  • fYear
    2009
  • Firstpage
    540
  • Lastpage
    545
  • Abstract
    When students are responsible for their own collaborative learning process, they need information on collaboration to manage the process. We note that collaborative environments fail to provide users with information on the collaboration process. This research proposes an open collaborative learning experience design that provides learners with an environment where they can manage the collaboration. The design provides information on collaboration to improve management. An inferring method, which uses statistical indicators of student interaction in forums and data mining technology, works to obtain information on student collaboration and groups students according to their level of collaboration. This information will be shown to students and tutors to improve the learning process and its management.
  • Keywords
    computer aided instruction; data mining; groupware; pattern clustering; statistical analysis; collaborative learning process; data mining technology; e-learning; inferring method; statistical indicator; student interaction; Artificial intelligence; Clustering algorithms; Collaborative tools; Collaborative work; Conference management; Data mining; Electronic learning; Environmental management; International collaboration; Process design; Collaboration Analysis; Data Mining; E-Learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Supported Cooperative Work in Design, 2009. CSCWD 2009. 13th International Conference on
  • Conference_Location
    Santiago
  • Print_ISBN
    978-1-4244-3534-0
  • Electronic_ISBN
    978-1-4244-3535-7
  • Type

    conf

  • DOI
    10.1109/CSCWD.2009.4968115
  • Filename
    4968115