• DocumentCode
    3228445
  • Title

    CRNS: A RIA system for course relationship network visualization

  • Author

    Qin, Ye ; Zhang, Shudong ; Yao, Naiming ; Luo, Liming

  • Author_Institution
    Coll. of Inf. Eng., Capital Normal Univ., Beijing, China
  • fYear
    2009
  • fDate
    25-28 July 2009
  • Firstpage
    1301
  • Lastpage
    1306
  • Abstract
    At present, there are various courses and complicated course relationship in universities, which is not good for students to make rational course arrangement. To address this, course relationship network system (CRNS) is implemented. It proposes a marked traversal algorithm based on depth-first approach which helps to show the relationship between courses with a multilevel graph. Besides, all reasonable learning paths can be analyzed and obtained under different strategies. The system is based on rich Internet application (RIA) that can provide students rich learning experience. The result indicates that students can acquire graphical course relationship information and learning paths rapidly and accurately. In this paper, the algorithm of generating course relationship network (CRN), database design, system architecture and key techniques are introduced. Now, CRNS is running in Capital Normal University.
  • Keywords
    computer aided instruction; computer science education; educational courses; course relationship network system; database design; depth-first approach; graphical course relationship information; marked traversal algorithm; multilevel graph; rich Internet application; system architecture; Broadcasting; Computer science; Computer science education; Educational institutions; Internet; Object oriented modeling; Systems engineering education; User interfaces; Visualization; XML; E-learning; Silverlight; course relationship; learning path; rich internet application;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education, 2009. ICCSE '09. 4th International Conference on
  • Conference_Location
    Nanning
  • Print_ISBN
    978-1-4244-3520-3
  • Electronic_ISBN
    978-1-4244-3521-0
  • Type

    conf

  • DOI
    10.1109/ICCSE.2009.5228144
  • Filename
    5228144