• DocumentCode
    1906553
  • Title

    User Modeling on Communication Characteristics Using Machine Learning in Computer-Supported Collaborative Multiple Language Learning

  • Author

    Virvou, Maria ; Alepis, E. ; Troussas, C.

  • Author_Institution
    Dept. of Inf., Univ. of Piraeus, Piraeus, Greece
  • Volume
    1
  • fYear
    2012
  • fDate
    7-9 Nov. 2012
  • Firstpage
    1088
  • Lastpage
    1093
  • Abstract
    Towards the creation of a multiple language learning environment which supports and enhances collaboration among its students we propose an approach that uses user modeling and machine learning. The well known theory of user modeling is used to collect user characteristics and as second step a classical machine learning approach is incorporated in order to intelligently use these characteristics to create student groups. The resulting student groups promote win-win collaboration, thus support the learning process and provide additional educational benefits for the learners.
  • Keywords
    groupware; intelligent tutoring systems; learning (artificial intelligence); user modelling; communication characteristics; computer-supported collaborative multiple language learning environment; educational benefit; intelligent tutoring system; learning process; machine learning; student group; user characteristics; user modeling; win-win collaboration; Artificial intelligence; Clustering algorithms; Collaboration; Collaborative work; Computational modeling; Computer architecture; Servers; computer-supported collaborative learning; k-means algorithm; machine learning; multiple language learning; user modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence (ICTAI), 2012 IEEE 24th International Conference on
  • Conference_Location
    Athens
  • ISSN
    1082-3409
  • Print_ISBN
    978-1-4799-0227-9
  • Type

    conf

  • DOI
    10.1109/ICTAI.2012.154
  • Filename
    6495171