Developing Dual-objective CD-CAT Algorithms for College Gate-way STEM Courses

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Abstract

The study proposes dual-objective cognitive diagnostic computerized adaptive testing (CD-CAT) algorithms for college gate-way STEM courses, which will use more information from the estimation of examinees’ overall ability at the beginning of the test and switch the assessment focus to the estimation of examinees’ skill mastery as the test proceed.

Authors

• Xiuxiu Tang

• Yuxiao Zhang, Purdue University

• Hua-Hua Chang, Purdue University