Abstract

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Title:: Progress of Item Selection Methods in Cognitive Diagnostic Computerized Adaptive Testing

Keywords:: cognitive diagnostic computerized adaptive testing; item selection; item exposure; balancing attribute coverage

Abstract:: In cognitive diagnostic computerized adaptive testing(CD-CAT), researchers have to take three aspects into consideration in item selection procedure: how to enhance accuracy of item selection methods; how to control the item exposure; and how to balance the attribute coverage. We reviewed some existing important item selection methods, and analyzed their drawbacks in this article. We also introduced three improved methods: Mao Xiuzhen’s two averaged PWKL, Chen Ping’s exposure control method, and Chong Weifeng’s attribute balancing method which uses the distance between a posterior probability of attribute mastery and 0.5. Compared with the old methods, these three new methods can do better in item selection. In the end, we discussed the relationship between the above-mentioned three aspects and the research direction of item selection methods in CD-CAT.