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- W2356670456 abstract "Traditional test only provides a total score,and computer adaptive test(CAT) not only provides examinee's score but also estimates examinee's ability.However,both two methods have not studied students' cognitive states.The advantage of cognitive diagnostic assessment(CDA) is that it could expose examinee's specific information and give effective remedy.Teachers can also improve teaching according to students' knowledge states.So CDA plays an important role in guiding teaching and studying.Traditional test does not include the reachability matrix;therefore the classification accuracy is low.To improve the classification accuracy,a new selection strategy,which combines the reachability matrix with cognitive diagnostic information index is developed.Monte Carlo simulation shows that the pattern classification rate and mean marginal classification rate are improved." @default.
- W2356670456 created "2016-06-24" @default.
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- W2356670456 date "2010-01-01" @default.
- W2356670456 modified "2023-09-28" @default.
- W2356670456 title "Study on Classification Accuracy Improvement in Diagnostic Test" @default.
- W2356670456 hasPublicationYear "2010" @default.
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