STRATEGI PEMBELAJARAN UNTUK MENINGKATKAN KETERAMPILAN PEMROGRAMAN DAN BERPIKIR KOMPUTASI: SEBUAH STUDI LITERATUR
DOI:
https://doi.org/10.26740/jvte.v2n2.p37-44Abstract
ABSTRAK
Berpikir komputasi dianggap sebagai kompetensi penting yang diperlukan untuk beradaptasi dengan teknologi masa depan. Oleh karena itu, berbagai penelitian tentang berpikir komputasi dilakukan oleh para peneliti. Namun, sedikit sekali penelitian yang mengulas tentang bagaimana strategi pembelajaran yang sesuai untuk diterapkan di mata kuliah pemrograman dasar guna meningkatkan pengetahuan dan berpikir komputasi. Pada artikel ini, dilakukan meta-review dari berbagai penelitian sebelumnya yang telah dipublikasikan di jurnal akademik pada tahun 2006-2019 tentang cara belajar-mengajar, media pembelajaran, dan bahasa pemrograman. Dari hasil studi literatur ditemukan bahwa berpikir komputasi telah diaplikasikan pada ilmu komputer dan bidang ilmu lain. Sebagian besar penelitian menggunakan Project-Based Learning, Problem-Based Learning, Cooperative Learning, dan Game-based Learning. Sebagian besar penelitan berfokus pada pelatihan keterampilan pemrograman dan komputasi matematis, sementara beberapa mengadopsi mode pengajaran lintas domain untuk memungkinkan siswa mengelola dan menganalisis materi berbagai domain dengan komputasi.
Kata Kunci: Berpikir komputasi, keterampilan pemrograman, dan strategi pembelajaran
ABSTRACT
Computational thinking is considered an important competency needed to adapt to future technology. Therefore, various studies on computational thinking are carried out by researchers. However, very few studies have reviewed how appropriate learning strategies are applied in basic programming courses to increase knowledge and computational thinking. In this article, a meta-review of various previous studies that have been published in academic journals in 2006-2019 is conducted on teaching and learning methods, learning media, and programming languages. From the results of the literature study it was found that computational thinking has been applied to computer science and other fields of science. Most of the research uses Project-Based Learning, Problem-Based Learning, Cooperative Learning, and Game-based Learning. Most of the research focuses on training mathematical programming and computational skills, while some adopt a cross-domain teaching mode to enable students to compute and analyze material across multiple domains.
Keywords: Computational thinking, learning strategy, and programming skills
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