• DocumentCode
    2859638
  • Title

    Research and Design of Intelligent Generating Test Paper System

  • Author

    Xiaoqin Wu

  • Author_Institution
    Key Lab. of Network & Intell. Inf. Process., Hefei Univ., Hefei, China
  • fYear
    2009
  • fDate
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    According to the functional demand of intelligent Test Paper system, we have designed four functional modules: examination database, test paper-generation, grade analysis and system setup. Test paper generation module is the core of the system, The improved Genetic Algorithms is more efficient and easier to get over premature convergence than the traditional algorithms. It is proved by a number of experiments provided by this article, the test paper formed by the algorithm meets all the users´ requirements if the quantity of test questions is moderate and reasonable.
  • Keywords
    deductive databases; educational administrative data processing; genetic algorithms; examination database; genetic algorithm; grade analysis; intelligent generating test paper system; system setup; test paper generation; Automatic testing; Convergence; Deductive databases; Genetic algorithms; Information processing; Intelligent networks; Laboratories; Performance analysis; Statistical analysis; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5365944
  • Filename
    5365944