Item Selection Strategies Based on Attribute Mastery Probabilities in CD-CAT

Luo, Zhaosheng; Yu, Xiaofeng; Chunlei, Gao; Li, Yujun; Yafeng, Peng; Wang, Rui; Wang, Yutong

doi:10.3724/sp.j.1041.2015.00679

Acta Psychologica Sinica

2015

DOI: 10.3724/sp.j.1041.2015.00679

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Item Selection Strategies Based on Attribute Mastery Probabilities in CD-CAT

Zhaosheng Luo¹,

Xiaofeng Yu²,

Gao Chunlei³

et al.

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Item selection methods for cognitive diagnostic computerized adaptive testing

Tang¹,

Mao²,

He³

et al. 2020

Adv Psychol Sci

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Dual-objective cognitive diagnostic computerized adaptive testing (CD-CAT), which considers knowledge status and ability simultaneously, has become more and more popular with the theoretical and practical development of CD-CAT. Item selection methods play a key role in CD-CAT. This paper systematically reviews existing item selection methods on traditional and dual-objective CD-CAT, and summarizes the types, characteristics, relations, and performance of these methods. Furthermore, several future research directions were illustrated. First, it is necessary to study item selection strategy with general cognitive models and under complex test conditions. Second, it is important to develop indexes representing items and test characteristic of dual-objective diagnostic testing. Finally, it is meaningful to conduct research on non-parametric item selection methods and practical applications of CD-CAT.

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Item selection methods for cognitive diagnostic computerized adaptive testing

Tang¹,

Mao²,

He³

et al. 2020

Adv Psychol Sci

View full text Add to dashboard Cite

show abstract

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Item Selection Strategies Based on Attribute Mastery Probabilities in CD-CAT

Cited by 1 publication

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Item selection methods for cognitive diagnostic computerized adaptive testing

Item selection methods for cognitive diagnostic computerized adaptive testing

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