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Problem Decomposition Skills, Mathematical Maturity, and Their Relation to Mathematics Problem-Solving in A Computer Science Learning Class Harsa Wara Prabawa; Rizky Rosjanuardi; Elah Nurlaelah
Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Vol 9, No 3 (2023): September
Publisher : Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jk.v9i3.8258

Abstract

This study investigates how students represent ideas when decomposing mathematical problems and how their mathematical maturity influences the problem-solving process. The method used in this research is explorative research. The subject of this research was six Computers Science Education Department students at the Indonesian Education University. The instrument used task-based interviews. Data analysis used the concept of Miles and Huberman, including data reduction, presentation, and drawing conclusions. The research found that problem decomposition skills, mathematical maturity, and their relation to solving mathematical problems in computer science learning classes influenced one another. Decomposition skills were influenced by how basic math skills are taught, so they can affect students' maturity in solving math problems.
Computational Thinking in Mathematics Education : A Systematic Literature Review on its Implementation and Impact on Students' Learning Ahmad Lutfi Fauzi; Y S Kusumah; Elah Nurlaelah; Dadang Juandi
Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Vol 10, No 2 (2024): June
Publisher : Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jk.v10i2.11140

Abstract

This study aims to analyze the impact of mathematics learning using Computational Thinking (CT) integration and to enlighten educators, researchers, and policy makers on the tactics, benefits, and challenges involved in incorporating CT into mathematics education by synthesizing existing research and educational initiatives. Using the systematic literature review (SLR) method with a qualitative approach, the results of this research were in the form of descriptive analysis. The database used was Scopus to filter relevant material about CT and mathematics education. Based on the search, nine publications from 2019 – 2023 were selected systematically based on the PRISMA protocol. This study's results indicated a relationship between CT and several students' mathematical abilities, such as problem-solving and improving problem-solving skills. Not only can it improve the cognitive side of students, but CT can also improve students' affective side, such as increasing creativity, confidence, and involvement in the learning process. The impact felt is not only in the micro scope (in the classroom), but can also be macro. CT can improve the quality of higher learning, so CT research can be used to determine a country's curriculum.