• DocumentCode
    3144246
  • Title

    Architectures and algorithms for auto-generating examination paper system

  • Author

    Wang, Xiuhui ; Wen, Junqin

  • Author_Institution
    Coll. of Inf. Eng., China Jiliang Univ., Hangzhou, China
  • Volume
    7
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    2893
  • Lastpage
    2895
  • Abstract
    Auto-generating examination paper intelligently is an important problem in Computer Aided Instruction (CAI) system construction. This paper analyzes the problem of auto-generating examination paper and some algorithms for generating examination paper, and presents away to solve the problem of intelligent auto-generating examination paper and uses Monte Carlo (MC) Method to analyze and selects test questions according to the score and difficulty coefficients of the knowledge points. And finally an intelligent auto-generating examination paper (Auto-GEP) system is designed using cases and rules based on MC method to determinate the control parameters. Test results show that Auto-GEP system can high intelligently select test questions with formal input of knowledge points, and assure the integrality of the final examination paper.
  • Keywords
    Monte Carlo methods; computer aided instruction; knowledge based systems; CAI system construction; Monte Carlo method; autoGEP system; computer aided instruction; intelligent autogenerating examination paper system; rule based system; Approximation algorithms; Artificial intelligence; Computer architecture; Computers; Databases; Education; Monte Carlo methods; Auto-generating Examination Paper; Difficulty Coefficients; Knowledge Points; Monte Carlo (MC);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6495-1
  • Type

    conf

  • DOI
    10.1109/BMEI.2010.5639631
  • Filename
    5639631