Tundung Memolo
Sekolah Menengah Pertama Negeri 3 Kepil, Wonosobo, Jawa Tengah, Indonesia

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Pembelajaran Matematika Berpikir Komputasi Materi Pola Bilangan dengan Media Kalkulator Web Berbasis Javascript Tundung Memolo
Jurnal Didaktika Pendidikan Dasar Vol 6 No 3 (2022): Jurnal Didaktika Pendidikan Dasar
Publisher : Direktorat Guru Pendidikan Dasar, Kemendikbudristek R.I.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26811/didaktika.v6i3.854

Abstract

Learning mathematics material on number patterns is very relevant in teaching students to think computationally. This study uses a JavaScript-based web calculator media to help students explore their learning. The purpose of this research is to describe the process of learning number patterns using a web calculator media and to find out the percentage of students’ positive responses in computational thinking. This research is a qualitative descriptive. The results showed that (a) most of the students understood pattern recognition, decomposition and abstraction; (b) the average percentage of student responses related to computational thinking: pattern recognition of 82.7%, decomposition of 72.4%, abstraction of 68.9%, while in algorithms of 67.24%; (c) The average computational thinking ability is 72.8%.
Pembelajaran Matematika Berpikir Komputasi Materi Pola Bilangan dengan Media Kalkulator Web Berbasis Javascript Tundung Memolo
Jurnal Didaktika Pendidikan Dasar Vol 6 No 3 (2022): Jurnal Didaktika Pendidikan Dasar
Publisher : Direktorat Guru Pendidikan Dasar, Kemendikbudristek R.I.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26811/didaktika.v6i3.854

Abstract

Learning mathematics material on number patterns is very relevant in teaching students to think computationally. This study uses a JavaScript-based web calculator media to help students explore their learning. The purpose of this research is to describe the process of learning number patterns using a web calculator media and to find out the percentage of students’ positive responses in computational thinking. This research is a qualitative descriptive. The results showed that (a) most of the students understood pattern recognition, decomposition and abstraction; (b) the average percentage of student responses related to computational thinking: pattern recognition of 82.7%, decomposition of 72.4%, abstraction of 68.9%, while in algorithms of 67.24%; (c) The average computational thinking ability is 72.8%.