Efektivitas Metode Scaffolding Dalam Meningkatkan Kemampuan Berpikir Komputasi Siswa Smp Pada Materi Perbandingan

Marchelin, Lucky Eno; Hamidah, Dewi; Resti, Nalsa Cintya

doi:10.14421/jppm.2022.41.16-29

Cited by 5 publications

(4 citation statements)

References 13 publications

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“…Hal ini mencakup guru memaparkan materi, memberikan contoh, latihan soal, mengecek jawaban siswa, dan memberikan pekerjaan rumah. Akibatnya membuat siswa kurang tertarik untuk mengembangkan kemampuan berpikir komputasional yang berdampak terhadap kemampuan berpikir komputasional siswa menjadi rendah (Marchelin et al, 2022;Supiarmo et al, 2021). Selain itu, kemampuan siswa dalam menyelesaikan masalah matematika juga masih rendah (Zulfah, 2017).…”

Section: Pendahuluanunclassified

Analisis Berpikir Komputasional Siswa dalam Menyelesaikan Masalah Matematika

Budiarti

Wibowo

Nugraheni

2022

jpm

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Penelitian ini bertujuan untuk mendeskripsikan kemampuan berpikir komputasional siswa dalam menyelesaikan masalah matematika. Jenis penelitian ini adalah penelitian kualitatif dengan pendekatan fenomenologi. Teknik pengambilan subjek pada penelitian ini adalah purposive sampling dan snowball sampling. Subjek dalam penelitian ini yaitu siswa kelas VIII SMP Negeri 4 Purworejo dengan kemampuan tinggi yang sudah memperoleh materi pola bilangan. Metode pengumpulan data yang digunakan yaitu dengan menggunakan tes, wawancara, dokumentasi, dan catatan lapangan. Hasil penelitian menunjukkan bahwa siswa dengan kemampuan tinggi telah mampu menyelesaikan soal masalah matematika dengan memuat aspek berpikir komputasional. Aspek yang termuat yaitu dekomposisi masalah, pengenalan pola, abstraksi, dan berpikir algoritma. Berpikir algoritma dilakukan dari awal hingga akhir. Langkah pertama yang dilakukan oleh siswa yaitu melakukan dekomposisi masalah, namun telah didahului berpikir algoritma dalam menentukan kegiatan dekomposisi masalah yang akan dilakukan oleh siswa. Sedangkan, abstraksi berlangsung sejak siswa melakukan dekomposisi masalah dengan langkah mengubah masalah matematika menjadi model matematika. Setelah dekomposisi masalah, muncul pengenalan pola yang mana langkah pengenalan pola ini tidak sepenuhnya dilakukan secara tertulis.

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Section: Pendahuluanunclassified

Analisis Berpikir Komputasional Siswa dalam Menyelesaikan Masalah Matematika

Budiarti

Wibowo

Nugraheni

2022

jpm

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“…There are still many students who are not yet optimal in computational thinking according to the results of the Program for International Student Assessment (PISA) test in 2018 which states that Indonesian students' abilities are ranked 73rd out of 79 participating countries. The results of the survey analysis of PISA test scores in the field of science explain that 52% of Indonesian students are still in the low level competency group (Lestari & Roesdiana, 2023;Marchelin et al, 2022). Students are only able to recognize or differentiate explanations of simple scientific phenomena, differentiate simple cause and effect relationships and interpret graphic and visual data which only requires low level cognitive abilities.…”

Section: Introductionmentioning

confidence: 99%

Patterns of Computational Thinking Skills for Elementary Prospectives Teacher in Science Learning: Gender Analysis Studies

Kumala,

Dwi Yasa,

Bin Haji Jait

et al. 2023

International j.of Elementary Education

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The PISA data results show that computational thinking abilities are still lacking. Computational thinking ability is influenced by gender. This research aims to analyze patterns of computational thinking skills of prospective elementary school teachers based on gender at 8 universities in Indonesia. In this research, the components of computational thinking skills analyzed are abstraction, algorithmic, decomposition, and pattern recognition. This research is a mix method research with research subjects as many as 234 prospective elementary school teachers at 8 higher educational institutions. The instruments used were test and interviews. The data analysis technique used is a quantitative data analysis technique using SEM PLS and for qualitative data analysis using miles and Huberman. The research results show that computational thinking skills are still low on the decomposition and pattern recognition components. Based on the SEM PLS test results, it shows that computational thinking abilities are related to gender. In general, the computational thinking ability of female students is slightly higher in all sub-indicators than men and there are differences in the pattern of computational thinking ability between male and female elementary school teacher prospective. The ability of prospective female elementary school teachers to answer in more detail and more structured, while the answers of male prospective teachers are shorter and less comprehensive. Recommendations for developing computational thinking skills by developing problem-based learning, contextual project-based learning and STEAM based learning.

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“…This includes teachers presenting material, giving examples, practicing questions, and checking students' answers. As a result, it makes students less interested in developing computational thinking skills, which has an impact on students' computational thinking skills, as a result in which students' computational thinking skills become low (Marchelin et al, 2022;Supiarmo et al, 2021). This is also based on the trial of research questions conducted by researchers by providing tests in the form of 1 computational thinking problem, as in Figure 1 below.…”

Section: Introductionmentioning

confidence: 99%

Student Computational Thinking in Solving Sequence Problems Based on Learning Styles

Miswanto,

Nusantara,

As'ari

et al. 2022

QLMN

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The purpose of this study is to describe students' computational thinking in solving sequence problems based on learning styles. This research approach is qualitative research with exploratory and descriptive research types. The subjects in this study were students majoring in Mathematics Tadris, Fakultas Tarbiyah dan Ilmu Keguruan UIN SATU Tulungagung semester 5. First, students' computational thinking in solving sequence problems based on assimilation and convergent learning styles, including incoherent, complete, and systematic. Second, students' computational thinking in solving sequence problems based on assimilation and accommodation learning styles, including coherent, complete, and systematic. Third, students' computational thinking in solving sequence problems is based on convergent learning styles and accommodation, including coherent, complete, and unsystematic. Fourth, students' computational thinking in solving sequence problems is based on divergent and convergent learning styles, including incoherent, incomplete, and unsystematic.

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Efektivitas Metode Scaffolding Dalam Meningkatkan Kemampuan Berpikir Komputasi Siswa Smp Pada Materi Perbandingan

Cited by 5 publications

References 13 publications

Analisis Berpikir Komputasional Siswa dalam Menyelesaikan Masalah Matematika

Analisis Berpikir Komputasional Siswa dalam Menyelesaikan Masalah Matematika

Patterns of Computational Thinking Skills for Elementary Prospectives Teacher in Science Learning: Gender Analysis Studies

Student Computational Thinking in Solving Sequence Problems Based on Learning Styles

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