• DocumentCode
    1616792
  • Title

    Estimation of multidimensional item response theory models in person parameter base on genetic algorithm

  • Author

    Li, Fang ; Jing, Fengxuan ; Xie, Xiaoyao ; Liu, Zhijie ; Zhang, Anyu ; Chen, Yan ; Yu, Xuhong

  • Author_Institution
    Key Lab. of Inf. & Comput. Sci. of Guizhou Province, Guizhou Normal Univ., Guiyang, China
  • fYear
    2010
  • Firstpage
    207
  • Lastpage
    210
  • Abstract
    According to research the concept of the genetic algorithm and multidimensional item response theory, using the method o genetic algorithm, this paper propose basic principle of estimation of multidimensional item response, theory model in person ability, changes and take the place of the calculation procedure, and gives the program design method.
  • Keywords
    education; genetic algorithms; psychology; estimation principle; genetic algorithm; multidimensional item response theory; person parameter; program design method; Biological cells; Computational modeling; Encoding; Estimation; Genetics; Maximum likelihood decoding; Pediatrics; compensatory extensions of the UIRT models; estimation of ability parameter; multidimensional item response theory; the genetic algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Anti-Counterfeiting Security and Identification in Communication (ASID), 2010 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-6731-0
  • Type

    conf

  • DOI
    10.1109/ICASID.2010.5551499
  • Filename
    5551499
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1616792