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
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;
Conference_Titel :
Anti-Counterfeiting Security and Identification in Communication (ASID), 2010 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6731-0
DOI :
10.1109/ICASID.2010.5551499
