• DocumentCode
    672950
  • Title

    EPAC: Examination Paper Automatic Construction Based on K-Means Algorithm

  • Author

    Yuli Song ; Feng Hong

  • Author_Institution
    Qingdao Coll. of Hotel Manage., Qingdao, China
  • fYear
    2013
  • fDate
    16-17 Nov. 2013
  • Firstpage
    232
  • Lastpage
    235
  • Abstract
    Constructing examination paper is one of the important parts of teaching process. A good examination paper should meet a lot of specific requirements, like knowledge points, quantities, types and difficulties. So it is a multi-targets optimization problem for constructing examination papers, which is hard to realize automatically. This paper provides the examination paper automatic construction system (EPAC), exploiting K-Means algorithm as its core for multi-targets optimization. And EPAC is realized through the example of Computer Networks, whose performance is confirmed comparing to randomly chosen process.
  • Keywords
    educational administrative data processing; optimisation; pattern clustering; random processes; EPAC; computer networks; examination paper automatic construction; k-means algorithm; multitarget optimization; randomly chosen process; Clustering algorithms; Education; Equations; Optimization; Partitioning algorithms; Signal processing algorithms; Vectors; Examination Paper; K-Means Clustering; Random Choosing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Applications (ITA), 2013 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4799-2876-7
  • Type

    conf

  • DOI
    10.1109/ITA.2013.61
  • Filename
    6709977