• DocumentCode
    2088355
  • Title

    Item Response Theory for Peer Assessment

  • Author

    Ueno, Maomi ; Okamoto, Toshio

  • Author_Institution
    Grad. Sch. of Inf. Syst., Electro-Commun., Univ., tokyo
  • fYear
    2008
  • fDate
    1-5 July 2008
  • Firstpage
    554
  • Lastpage
    558
  • Abstract
    Item-response theory is applied to peer assessment by a new method for estimating assessment-criterion parameters. The proposed model is a modified graded item response model with an assessorpsilas evaluation-criterion parameters. The advantages of this method are as follows: (i) the capability of evaluating learnerspsila abilities on the same scale even if the assessors have different assessment criteria; (ii) evaluating the learnerspsila abilities by considering each assessorpsilas characteristics, thus giving reliable evaluated results; and (iii) easy estimation of the parameters from missing data. As a result of these advantages, the proposed method improves the accuracy of peer assessment. The proposed model was compared with conventional methods, and the proposed method showed the best performances.
  • Keywords
    education; parameter estimation; assessment-criterion parameters; item response theory; peer assessment; Educational institutions; Feedback; Information systems; Parameter estimation; Performance evaluation; Collaborative Learning; Peer Assessment; e-Learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies, 2008. ICALT '08. Eighth IEEE International Conference on
  • Conference_Location
    Santander, Cantabria
  • Print_ISBN
    978-0-7695-3167-0
  • Type

    conf

  • DOI
    10.1109/ICALT.2008.118
  • Filename
    4561764