Cognitive diagnostic assessment in educational contexts: Global trends, methodological innovations, and emerging direction
Fitria Herliana 1 1 , A. Halim 2 * , Riza Andriani 3 , Burhanuddin Yasin 4 , Mailizar 5
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1 Student of Doctoral Education Department, Universitas Syiah Kuala, INDONESIA2 Lecturer of Physics Education Department, Universitas Syiah Kuala, INDONESIA3 Lecturer of Physics Education Department, Universitas Malikussaleh, INDONESIA4 Lecturer of English Education Department, Universitas Syiah Kuala, INDONESIA5 Lecturer of Mathematics Education Department, Universitas Syiah Kuala, INDONESIA* Corresponding Author

Abstract

Cognitive diagnostic assessment (CDA) provides precise insights into students’ cognitive strengths and weaknesses. This systematic literature review analyzed 56 Scopus-indexed articles (2015-2025) using the theory-context-method framework. CDA is predominantly applied in mathematics, science, and language education, with significant contributions from China, USA, and Malaysia. While classical DINA and G-DINA models remain prevalent, recent studies integrate machine learning for Q-matrix validation. Quantitative approaches dominate (76.8%), revealing a gap between technical sophistication and practical implementation. The review emphasizes CDA’s potential for personalized learning and evidence-based policy, recommending future research to adopt longitudinal designs, expand interdisciplinary integration, and bridge diagnostic insights with pedagogical practice.

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Review Article

EURASIA J Math Sci Tech Ed, Volume 22, Issue 2, February 2026, Article No: em2775

https://doi.org/10.29333/ejmste/17827

Publication date: 02 Feb 2026

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