Title :
Item Response Theory for Peer Assessment
Author :
Ueno, Maomi ; Okamoto, Toshio
Author_Institution :
Grad. Sch. of Inf. Syst., Electro-Commun., Univ., tokyo
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;
Conference_Titel :
Advanced Learning Technologies, 2008. ICALT '08. Eighth IEEE International Conference on
Conference_Location :
Santander, Cantabria
Print_ISBN :
978-0-7695-3167-0
DOI :
10.1109/ICALT.2008.118