Email the author Profil Computational Thinking Skill Siswa SMP dalam Pembelajaran IPA
Abstract
This research aims to describe the profile of students' computational thinking skills (CTS) in solving problems on topics about work, energy, and simple machines in science learning. This research was conducted using a descriptive method with a quantitative approach. The subjects in this research were students in classes VIII A and IX A of SMP Negeri 4 Jember for the 2023/2024 academic year, with a total of 64 students from each class taken from 32 students in each class. The data collection technique in this research used a Computational Thinking essay test with 5 questions, which were then analyzed using quantitative descriptive analysis. Based on the research results, it is known that the CTS level of class VIII students was 35.97, so it was categorized as low, and the CTS level of class IX students was 53.59, which has been given treatment, so it is categorized as medium. The highest level that class VIII students could achieve was 55.47%, namely decomposition ability, and the lowest percentage was 2.18%, namely evaluation ability. Meanwhile, the highest level that could be achieved by class IX students who had received learning material on work, energy, and simple machines was 59.37%, namely decomposition ability, and the lowest level was 20.93%, namely pattern recognition ability.
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Ariyawati, P. A. M., Waluyo, J., & Prihatin, J. (2017). Analisis respon siswa terhadap model Pairs, Investigation and Communication (PIC) dalam pembelajaran IPA. Jurnal Pembelajaran Dan Pendidikan Sains, 2(1), 9–15.
Chiazzese, G., Arrigo, M., Chifari, A., Lonati, V., & Tosto, C. (2019). Educational robotics in primary school: Measuring the development of computational thinking skills with the bebras tasks. Informatics, 6(4), 43.
Gökçe, S., & Yenmez, A. A. (2023). Ingenuity of scratch programming on reflective thinking towards problem solving and computational thinking. Education and Information Technologies, 28(5), 5493–5517.
Hsu, T.-C., Chang, S.-C., & Hung, Y.-T. (2018). How to learn and how to teach computational thinking: Suggestions based on a review of the literature. Computers & Education, 126, 296–310.
Jaipal-Jamani, K., & Angeli, C. (2017). Effect of robotics on elementary preservice teachers’ self-efficacy, science learning, and computational thinking. Journal of Science Education and Technology, 26, 175–192.
Jayusman, I., & Shavab, O. A. K. (2020). Studi deskriptif kuantitatif tentang aktivitas belajar mahasiswa dengan menggunakan media pembelajaran edmodo dalam pembelajaran sejarah. Jurnal Artefak, 7(1).
Khairani, B. P., Maimunah, M., & Roza, Y. (2021). Analisis kemampuan pemahaman konsep matematis siswa kelas XI SMA/MA pada materi barisan dan deret. Jurnal Cendekia: Jurnal Pendidikan Matematika, 5(2), 1578–1587.
Kristiandari, C. S. D., Akbar, M. A., & Limiansih, K. (2023). Integrasi computational thinking dan STEM dalam pembelajaran IPA pada siswa kelas VB SD Kanisius Kadirojo. Innovative: Journal Of Social Science Research, 3(2), 4794–4806.
Labusch, A., Eickelmann, B., & Vennemann, M. (2019). Computational thinking processes and their congruence with problem-solving and information processing. Computational Thinking Education, 65–78.
Lee, I., Grover, S., Martin, F., Pillai, S., & Malyn-Smith, J. (2020). Computational thinking from a disciplinary perspective: Integrating computational thinking in K-12 science, technology, engineering, and mathematics education. Journal of Science Education and Technology, 29, 1–8.
Magdalena, I., Shodikoh, A. F., Pebrianti, A. R., Jannah, A. W., & Susilawati, I. (2021). Pentingnya media pembelajaran untuk meningkatkan minat belajar siswa SDN Meruya Selatan 06 Pagi. EDISI, 3(2), 312–325.
Ni’am, M. K., Lia, L., Salsabila, N. A., Fitriyani, N., & Sari, N. H. M. (2022). Pembelajaran Matematika berbasis Computational Thinking di Era Kurikulum Merdeka Belajar. SANTIKA: Seminar Nasional Tadris Matematika, 2, 66–75.
Nuursya’baani, M. B., Aminah, N., & Hartono, W. (2022). Eksplorasi Computational Thinking Siswa Dalam Pembelajaran Matematika Menggunakan Media Interaktif Scratch. Prosiding Seminar Nasional Pascasarjana (PROSNAMPAS), 5(1).
Ogegbo, A. A., & Ramnarain, U. (2022). A systematic review of computational thinking in science classrooms. Studies in Science Education, 58(2), 203–230.
Peel, A., Sadler, T. D., & Friedrichsen, P. (2022). Algorithmic explanations: An unplugged instructional approach to integrate science and computational thinking. Journal of Science Education and Technology, 31(4), 428–441.
Prahesti, V. D., & Santosa, S. (2022). The challenge of educating on the character of students in facing the society era 5.0. Fenomena, 21(2), 247–254.
Rodríguez del Rey, Y. A., Cawanga Cambinda, I. N., Deco, C., Bender, C., Avello‐Martínez, R., & Villalba‐Condori, K. O. (2021). Developing computational thinking with a module of solved problems. Computer Applications in Engineering Education, 29(3), 506–516.
Rukajat, A. (2018). Pendekatan penelitian kuantitatif: quantitative research approach. Yogyakarta: Deepublish.
Satria, E., Hendrizal, H., Daswarman, D., & Jusar, I. R. (2023). Pelatihan keterampilan computational thinking bagi guru SD di Nagari Kapau Kabupaten Agam Sumatera Barat. Ikra-Ith Abdimas, 6(2), 45–52.
Sengupta, P., Kinnebrew, J. S., Basu, S., Biswas, G., & Clark, D. (2013). Integrating computational thinking with K-12 science education using agent-based computation: A theoretical framework. Education and Information Technologies, 18, 351–380.
Sudibjo, N., Idawati, L., & Harsanti, H. G. R. (2019). Characteristics of Learning in the Era of Industry 4.0 and Society 5.0. International Conference on Education Technology (ICoET 2019), 276–278.
Wang, C.-Y., Gao, B.-L., & Chen, S.-J. (2023). The effects of metacognitive scaffolding of project-based learning environments on students’ metacognitive ability and computational thinking. Education and Information Technologies, 1–24.
Wang, C., Shen, J., & Chao, J. (2022). Integrating computational thinking in STEM education: A literature review. International Journal of Science and Mathematics Education, 20(8), 1949–1972.
Weintrop, D., Beheshti, E., Horn, M., Orton, K., Jona, K., Trouille, L., & Wilensky, U. (2016). Defining computational thinking for mathematics and science classrooms. Journal of Science Education and Technology, 25, 127–147.
Wibawa, H. A., Saputra, R., Sasongko, P. S., Adhy, S., & Rismiyati, R. (2020). Pelatihan Computational Thinking bagi Guru SMP-SMK Muhammadiyah 2 Kota Semarang. E-Dimas: Jurnal Pengabdian Kepada Masyarakat, 11(2), 173–178.
Yuliati, Y. (2017). Literasi sains dalam pembelajaran IPA. Jurnal Cakrawala Pendas, 3(2).
Yuniarto, B., & Yudha, R. P. (2021). Literasi digital sebagai penguatan pendidikan karakter menuju era society 5.0. Edueksos Jurnal Pendidikan Sosial & Ekonomi, 10(2).
DOI: https://doi.org/10.33394/jp.v10i4.9193
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