• DocumentCode
    2086110
  • Title

    Associative Language Learning Support Applying Graph Clustering For Vocabulary Learning and Improving Associative Ability

  • Author

    Jung, Jaeyoung ; Makoshi, Nobuyasu ; Akama, Hiroyuki

  • Author_Institution
    Dept. of Human Syst. Sci., Tokyo Inst. of Technol., Tokyo
  • fYear
    2008
  • fDate
    1-5 July 2008
  • Firstpage
    228
  • Lastpage
    232
  • Abstract
    In this study, we propose a new Web-based associative language learning system, called ALL It assumes that word association exercise and associative information about words would be useful for vocabulary learning and improving associative ability. For this, word association sources are used, and a graph theory and a graph clustering are employed as suitable tools for organizing the data structure and for mining meaningful information from it.
  • Keywords
    associative processing; computer aided instruction; graph theory; pattern clustering; associative ability; associative language learning support; data structure; graph clustering; graph theory; information mining; vocabulary learning; word association sources; Data structures; Databases; Graph theory; Humans; Large-scale systems; Learning systems; Organizing; Thesauri; Usability; Vocabulary; associative vocabulary learning; computer-assisted vocabulary learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies, 2008. ICALT '08. Eighth IEEE International Conference on
  • Conference_Location
    Santander, Cantabria
  • Print_ISBN
    978-0-7695-3167-0
  • Type

    conf

  • DOI
    10.1109/ICALT.2008.40
  • Filename
    4561672