Solving numerical method problems with mathematical software: Identifying computational thinking
Marhan Taufik 1 , Reni Dwi Susanti 1 *
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1 Study Program of Mathematics Education, Universitas Muhammadiyah Malang, Kota Malang, Jawa Timur, INDONESIA* Corresponding Author

Abstract

This research examines the application of students’ computational thinking (CT) in solving numerical method problems through computer software. Data collection involved observing their learning process and conducting tests to evaluate their CT skills within the context of the root approach material using Newton-Raphson method. The results indicate that the use of Microsoft Excel facilitates problem-solving for students and educators when employing Newton-Raphson method. Furthermore, it helps identify aspects or indicators of CT in students’ problem-solving processes. The research findings demonstrate that students with strong mathematical abilities should document their conclusions in the algorithmic aspect. Students with moderate mathematical abilities exhibit all indicators in every aspect of CT when solving problems using Newton-Raphson method. On the other hand, students with weak mathematical skills fail to articulate questions, formulas, or conclusions in the algorithm design aspect, but they do show all indicators in the pattern recognition and abstraction aspects.

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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: Research Article

PEDAGOGICAL RES, 2024, Volume 9, Issue 3, Article No: em0209

https://doi.org/10.29333/pr/14583

Publication date: 01 Jul 2024

Online publication date: 06 May 2024

Article Views: 227

Article Downloads: 163

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