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. 2022 Nov 15:13:1009142.
doi: 10.3389/fpsyg.2022.1009142. eCollection 2022.

Cognitive model construction and assessment of data analysis ability based on CDA

Xiaopeng Wu  1 , Yi Zhang  2   3 , Rongxiu Wu  4 , Xiuxiu Tang  5 , Tianshu Xu  3
Affiliations

Cognitive model construction and assessment of data analysis ability based on CDA

Xiaopeng Wu et al. Front Psychol. .

Abstract

Ability of data analysis, as one of the essential core qualities of modern citizens, has received widespread attention from the international education community. How to evaluate students' data analysis ability and obtain the detailed diagnosis information is one of the key issues for schools to improve education quality. With an employment of cognitive diagnostic assessment (CDA) as the basic theoretical framework, this study constructed the cognitive model of data analysis ability for 503 Grade 9 students in China. The follow-up analyses including the learning path, learning progression and corresponding personalized assessment were also provided. The result indicated that first, almost all the students had the data awareness. Furthermore, the probability of mastering the attribute Interpretation and inference of data was relatively low with only 60% or so. Also, the probabilities of mastering the rest of attributes were about 70% on average. It was expected that this study would provide a new cognitive diagnostic perspective on the assessment of students' essential data analysis abilities.

Keywords: ability assessment; cognitive diagnostic assessment; cognitive model; data analysis ability; math education.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Cognitive model of data analysis ability.
Figure 2
Figure 2
Distribution diagram for attribute mastery probability of data analysis ability.
Figure 3
Figure 3
Advanced diagram of data analysis ability progression.
Figure 4
Figure 4
Radar chart of the mastery results of students’ data analysis ability.
See this image and copyright information in PMC

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