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For the purpose to examine the possibility of cognitive diagnostic assessment (CDA) for understanding cognitive characteristics of students’ critical thinking abilities, in the current study, we applied cognitive diagnostic modeling to an existing critical thinking test (Kusumi, et al., 2010), by constructing and refining the skills necessary for diagnostic purpose. Unlike traditional critical thinking tests, some attributes were assigned each item of the test. Using the deterministic input, noisy-or-gate (DINO) model (Templine & Hanson, 2006), attribute mastery probabilities were estimated. As results, attribute profiles of the students, who all answered the same number of items correctly, revealed that their response patterns were not identical, showing that the students had different combinations of strong and weak points.
Yuko Tanaka, National Institute of Informatics
Masayuki Suzuki
Yuan Sun, National Institute of Informatics
Masuo Koyasu, Kyoto University
Yasushi Michita, University of Ryukyus
Hajimu Hayashi, Kobe University
Rumi Hirayama, Osaka College of Music
Takashi Kusumi, Kyoto University