Muzakki Abdillah, - (2024) RANCANG BANGUN INSTRUMEN ASESMEN ADAPTIF PADA GAYA BELAJAR ANTHONY GREGORC UNTUK MENINGKATKAN COMPUTATIONAL THINKING SISWA. S1 thesis, Universitas Pendidikan Indonesia.
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Abstract
Computational thinking (CT) telah mendapat perhatian yang semakin besar dari para praktisi dalam proses pembelajaran di era digital. Namun, proses pembelajaran di Indonesia belum banyak melatih kemampuan CT, sehingga berakibat pada rendahnya kemampuan siswa dalam pemecahan masalah. Rendahnya kemampuan berpikir komputasional pada siswa kelas XI RPL SMKN 2 Bandung dibuktikan dengan hasil uji coba pretest dimana 73% siswa mendapatkan nilai di bawah 75. Penelitian ini bertujuan untuk mengembangkan instrumen asesmen adaptif yang sesuai dengan gaya belajar Anthony Gregorc khususnya gaya belajar sekuensial konkret dan sekuensial abstrak untuk meningkatkan kemampuan berpikir komputasional siswa. Penelitian ini juga meneliti respon siswa terhadap instrumen asesmen adaptif yang telah dirancang. Penelitian ini menggunakan media berbasis website sebagai alat bantu penelitian dengan hasil yang diinginkan berupa peningkatan kemampuan berpikir komputasional dan pendapat mahasiswa terhadap instrumen asesmen adaptif yang telah dirancang. Metode penelitian yang digunakan adalah ADDIE dengan desain penelitian One Group Pretest Posttest. Berdasarkan penelitian yang telah dilakukan, diperoleh bahwa peningkatan skor computational thinking yang cukup signifikan pada gaya belajar sekuensial konkret dan sekuensial abstrak dengan rata-rata 51,56 dan 58,18 menjadi 70,63 dan 71,82. Siswa juga memberikan respon positif terhadap instrumen asesmen adaptif dengan kategori "Baik". Dapat disimpulkan bahwa penerapan instrumen asesmen adaptif pada gaya belajar Anthony Gregorc dapat meningkatkan kemampuan berpikir komputasional siswa. Computational thinking (CT) has received increasing attention from practitioners in the learning process in the digital era. However, the learning process in Indonesia has not trained CT skills much, resulting in the low ability of students in problem solving. The low level of computational thinking skills in the XI RPL students of SMKN 2 Bandung is evidenced by the results of the pretest trial where 73% of students scored below 75. This study aims to develop an adaptive assessment instrument that is in accordance with Anthony Gregorc's learning style, especially concrete sequential and abstract sequential learning styles to improve students' computational thinking skills. This study also examined students' responses to the adaptive assessment instrument that had been designed. This research uses website-based media as a research tool with the desired results in the form of increased computational thinking and students' opinions on the adaptive assessment instrument that has been designed. The research method used is ADDIE with One Group Pretest Posttest research design. Based on the research that has been done, it is found that the increase in computational thinking scores is quite significant in concrete sequential and abstract sequential learning styles with an average of 51.56 and 58.18 to 70.63 and 71.82. Students also gave positive responses to the adaptive assessment instrument with the category "Good". It can be concluded that the application of adaptive assessment instrument on Anthony Gregorc learning style can improve students' computational thinking ability.
Item Type: | Thesis (S1) |
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Additional Information: | https://scholar.google.com/citations?hl=en&user=krRM-78AAAAJ ID SINTA Dosen Pembimbing: Eka Fitrajaya Rahman: 6038107 Rasim: 5990962 |
Uncontrolled Keywords: | ADDIE, Instrumen Asesmen Adaptif, Gaya Belajar Anthony Gregorc, Kemampuan Berpikir Komputasional ADDIE, Adaptive Assessment Instruments, Anthony Gregorc Learning Style, Computational Thinking Ability |
Subjects: | L Education > L Education (General) |
Divisions: | Fakultas Pendidikan Matematika dan Ilmu Pengetahuan Alam > Program Studi Pendidikan Ilmu Komputer |
Depositing User: | Muzakki Abdillah |
Date Deposited: | 28 Aug 2024 09:20 |
Last Modified: | 28 Aug 2024 09:20 |
URI: | http://repository.upi.edu/id/eprint/120973 |
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