Journal of Jilin University Science Edition

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Modified ABC Based Parameter Estimation ofthe Mixture IRT Model

WEN Changji1,2, WANG Shengsheng2, ZHAO Xin1, LI Jian1, ZHOU Cuijuan1   

  1. 1. College of Information and Technology, Jilin Agricultural University, Changchun 130118, China;2. Key Laboratory of Symbolic Computing and Knowledge Engineering of Ministry of Education,Jilin University, Changchun 130012, China
  • Received:2013-12-09 Online:2014-07-26 Published:2014-09-26
  • Contact: WANG Shengsheng E-mail:wss@jlu.edu.cn

Abstract:

A mixture IRT model was proposed which is composed of the testlet response model and the partial credit model for representing the subject and object tests. Meanwhile a modified artificial bee colony algorithm was proposed to estimate the parameters in the mixture model. The comparative experiment results based on the simulate data show that the novel method in this work is feasible and effective.

Key words:  item response theory, mixture model, parameter estimation, artificial bee colony algorithm

CLC Number: 

  • TP301.6