Analysis of Students' Computational Thinking Abilities Based on Self-esteem

Aziz Musthofa 1 Indonesia , Ipah Muzdalipah 1 Indonesia , Ratna Rustina 1 Indonesia
1 Department of Mathematics Education, Faculty of Teacher Training and Education, Universitas Siliwangi
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Published 2026-08-29
Vol. 6 No. 3 (2026) PAGES 1313 - 1328
DOI 10.51574/kognitif.v6i3.5249
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Computational Thinking (CT) skills are a fundamental 21st-century skill that is essential in solving mathematical problems, but its success is inseparable from affective factors such as Self-esteem. This research is important because there are still few in-depth qualitative studies that analyze the CT thinking process from the characteristics of Self-esteem. Restriction on categories only Self-esteemhigh and low (without medium category) are based on theory Rosenberg (1965). The purpose of this study is to describe the CT ability of students reviewed from Self-esteem high and low. The method used was qualitative exploratory with the subjects of four students of class IX C SMP Negeri 5 Tasikmalaya who were selected purposively (two with Self-esteem high and two with Self-esteem low) and able to meet all four CT indicators. Instruments include questionnaires Self-esteem Guttman scale, written tests on algebraic form stories, and semi-structured interview guidelines. Data collection was carried out through questionnaire distribution, CT tests, and in-depth interviews, while data analysis used the Miles & Huberman analysis framework (reduction, presentation, conclusion drawn) with triangulation techniques. The results showed that cognitively all subjects were able to meet all four CT indicators, but the tendency of their thought processes to differ qualitatively. Students with Self-esteem high tends to indicate a systematic, structured, and efficient thought process (for example, students tend to understand the problem immediately with confidence without difficulty simplifying algebra or tend to be more careful by double-checking). In contrast, students withSelf-esteemtend to be nervous, afraid of making mistakes, read questions repeatedly, and hesitating in determining patterns, and tend to panic at the beginning, forget formulas, and have time to ask friends. Implications, Self-esteemplays more role in shaping the quality of computational thinking experiences than simply determining the achievement of cognitive indicators

Musthofa, A., Muzdalipah, I., & Rustina, R. (2026). Analysis of Students’ Computational Thinking Abilities Based on Self-esteem. Kognitif: Jurnal Riset HOTS Pendidikan Matematika, 6(3), 1313–1328. https://doi.org/10.51574/kognitif.v6i3.5249
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Keywords
Analysis Computational Thinking Mathematics Education Self-esteem