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All Journal Kontinu: Jurnal Penelitian Didaktik Matematika Jurnal Elemen
Azizia, Ananda Jullailatul
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Humanities Education Languange, Linguistic, Communication & Media Mathematics Other

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Systematic Literature Review: Trends Computational Thinking and Mathematical Disposition in Mathematics Learning Azizia, Ananda Jullailatul; Masrukan, Masrukan; Susilo, Bambang Eko
JURNAL PENDIDIKAN MATEMATIKA Vol 8, No 2: November 2024
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30659/kontinu.8.2.152-169

Abstract

Abstract. This research aims to provide comprehensive information on the trend of computational thinking ability and mathematical disposition in mathematics learning. The method used was a Systematic Literature Review (SLR). Data was collected by reviewing articles on computational thinking skills and mathematical disposition published in 2019-2024. There were 15 articles, nine related to computational thinking ability and six related to mathematical disposition, obtained from Google Scholar and Scopus. The results of this study indicate that the methods and research designs that tend to be used for research on computational thinking ability and mathematical disposition tend to use quantitative research with quasi-experimental design, and PBL learning models are widely used. Research on thinking ability is predominantly carried out on elementary school students but for mathematical disposition at the junior and senior high school levels with geometry, algebra, and statistics mathematics materials. Computational thinking skills and mathematical disposition are two important aspects of mathematics education that are interrelated and influence each other.Keywords: computational thinking ability, mathematical disposition, mathematics learning
How mathematical disposition shapes computational thinking in solving systems of linear equations: A flowchart-supported qualitative study Azizia, Ananda Jullailatul; Masrukan; Susilo, Bambang Eko; Arifuddin, Ahmad
Jurnal Elemen Vol 11 No 4 (2025): October
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jel.v11i4.32082

Abstract

Computational thinking (CT) is a vital 21st-century skill in mathematics education, enabling students to solve problems systematically through decomposition, pattern recognition, abstraction, and algorithmic thinking. However, students’ mathematical disposition—encompassing beliefs, habits of mind, and affective tendencies—may significantly influence CT development. Guided by the affective–cognitive interaction model, this study aimed to explore how mathematical disposition shapes students’ CT skills, particularly in solving systems of three-variable linear equations using self-constructed, flowchart-supported algorithmic representations. A descriptive qualitative approach was adopted, with six students (two each from high, medium, and low disposition levels, identified via questionnaire) participating. Data collection involved a disposition scale, CT test, interviews, and documentation. Findings revealed that high-disposition students successfully demonstrated all CT indicators and produced coherent flowcharts. Medium-disposition students showed variability: some met all criteria, while others faltered in algorithmic design. Low-disposition students managed only basic decomposition and pattern recognition, with incomplete abstraction and fragmented flowcharts. These results suggest a strong link between affective factors and cognitive performance in CT tasks. Implications highlight the importance of integrating disposition-aware scaffolding—such as interactive visual tools and guided reflection—to support diverse learners and enhance CT development in mathematics classrooms.
Co-Authors Ahmad Arifuddin Arief Agoestanto Bambang Eko Susilo Masrukan Masrukan Masrukan Masrukan Scolastika Mariani Sugiman Sugiman