• DocumentCode
    3578709
  • Title

    Dually adaptive online IRT testing system with application to high-school mathematics testing case

  • Author

    Hirose, Hideo ; Aizawa, Yu. ; Tokusada, Yoshiko ; Noguchi, Kazuhisa

  • Author_Institution
    Dept. of Syst. Design & Inf., Kyushu Inst. of Technol., Fukuoka, Japan
  • fYear
    2014
  • Firstpage
    447
  • Lastpage
    452
  • Abstract
    The item response theory (IRT) provides us not only the abilities of examinees but also the difficulties of items. Adaptive testing using the IRT selects the most appropriate items to examinees automatically, resulting in more accurate ability estimation and more efficient test procedures than the conventional testing. However, the item parameters remain constants even if the features of the examinees change. To overcome this situation, we use the dually adaptive online IRT testing system, where “dually adaptive” means that one is targeted to the adequate item selection and the other is targeted to the adjustment of the difficulty values for items. We have applied this method to the high-school mathematics testing case, and we have found that the system works well.
  • Keywords
    computer aided instruction; dually adaptive online IRT testing system; examinee ability estimation; high-school mathematics testing; item parameter; item response theory; item selection; test procedure; Adaptive systems; Calibration; Education; Estimation; Monitoring; Testing; EM-type algorithm; calibration; dually adaptive; high-school mathematics testing case; item response theory; matrix completion; online adaptive system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Teaching, Assessment and Learning (TALE), 2014 International Conference on
  • Type

    conf

  • DOI
    10.1109/TALE.2014.7062595
  • Filename
    7062595