Work

Critical thinking in math: 10th-grade analysis using cognitive diagnostic modeling

Year: 2025

Type: article

Abstract: Critical thinking is widely recognized as an essential competency in mathematics education, yet assessments often fail to capture its multidimensional nature. This study applied a Bayesian Cognitive Diagnostic Modeling (G-DINA) approach to identify the mastery profiles of tenth-grade students in Indonesia across four attributes: interpretation, analysis, evaluation, and inference. Data from 60 students revealed that most learners demonstrated partial rather than full mastery, with consistent challenges in evaluative reasoning and inference. These diagnostic profiles provide actionable insights for teachers, enabling more targeted instructional strategies that go beyond total test scores. The findings highlight the potential of Bayesian CDMs to enhance classroom assessment by offering fine-grained evidence of students’ reasoning patterns. This study contributes novelty by being among the first to implement Bayesian cognitive diagnosis in mathematics education within the Indonesian context, bridging methodological innovation with practical implications for teaching and assessment.

Source: REID (Research and Evaluation in Education)

DOI: 10.21831/reid.v11i1.88074

Authors: Muhammad Ali Gunawan, Fitri Amalia, Ari Setiawan, Hawa Husna Ab Ghani

Institutions: Sekolah Tinggi Agama Islam Ki Ageng Pekalongan, Universitas Pekalongan, University of Sarjanawiyata Tamansiswa, Sultan Zainal Abidin University

Language: English

Topic: Mathematics Education and Pedagogy

Subfield: Applied Mathematics

Field: Mathematics

Domain: Physical Sciences

SDG: Quality education

Open Access status: gold

Estimated APC paid: $72