Analyzing the Integration of Computational Thinking in Science and Physics Education within the Indonesian Curriculum
DOI:
https://doi.org/10.37891/kpej.v7i1.620Keywords:
computational thinking, Indonesian curriculum, physics, scienceAbstract
This field study was carried out to reveal the implementation of computational thinking in learning Natural Sciences and Physics in the Independent Curriculum. The study was conducted in Garut Regency targeting science, physics and ICT teachers in schools that have implemented the Independent Curriculum. The number of respondents involved was 112 teachers who were selected using the cluster sampling method. Respondents consisted of 57.1% elementary school teachers, 31.3% middle school teachers, and 11.6% high school/equivalent teachers. The instruments used include questionnaires, observation sheets, and document analysis sheets. Data analysis was carried out using triangulation techniques from research data. The research results show that conceptually teachers still do not understand computational thinking. Even though some teachers are aware of the emphasis on implementing computational thinking in the independent curriculum, the documents for planning and implementing learning in the classroom still do not show this implementation. These results can be used as a basis for conducting training and assistance to science and physics teachers in implementing computational thinking in learning.References
Allo, L. S., & Sihotang, H. (2023). Pentingnya Implementasi Pendidikan Literasi Keuangan di Sekolah. Seminar Pengembangan Pembelajaran (pp. 1-9). Jakarta: Program Pascasarjan Universitas Kristen Indonesia. Retrieved Januari, 2023
Angeli, C., & Giannakos, M. (2020). Computational Thinking Education: Issues and Challenges. In Computers in human behavior, 105(1), 1-3. Elsevier. https://doi.org/10.1016/j.chb.2019.106185
Bee, V., & Lianto, J. (2023). Berpikir Komputasional Siswa Menengah Atas pada Pemecahan Masalah Matematika Ditinjau dari Level Metakognisi. Doctoral Dissertation. Universitas Islam Negeri Maulana Malik Ibrahim.
Berthelsen, U. D., & Nielsen, C. F. (2021). Democracy and computation: A normative perspective on the magic of the new millennium. In Computational Thinking in Education (pp. 57–72). Routledge.
Calavia, M. B., Blanco, T., & Casas, R. (2021). Fostering Creativity as a Problem-solving Competence Through Design: Think-Create-Learn, a Tool for Teachers. Thinking Skills and Creativity, 39(1), 100761. https://doi.org/10.1016/j.tsc.2020.100761
Chevalier, M., Giang, C., Piatti, A., & Mondada, F. (2020). Fostering Computational Thinking through Educational Robotics: A Model for Creative Computational Problem Solving. International Journal of STEM Education, 7(1), 1–18.
Creswell, J. W., & Guetterman, T. C. (2019). Educational Research : Planning, Conducting, and Evaluating Quantitative and Qualitative Research. Pearson Education.
Cromwell, J. R. (2024). How Combinations of Constraint Affect Creativity: A New Typology of Creative Problem Solving in Organizations. Organizational Psychology Review, 14(1), 3–24.
Dagien?, V., Jevsikova, T., Stupurien?, G., & Juškevi?ien?, A. (2022). Teaching Computational Thinking in Primary Schools: Worldwide Trends and Teachers’ Attitudes. Computer Science and Information Systems, 19(1), 1–24.
Dohn, N. B., Kafai, Y., Mørch, A., & Ragni, M. (2022). Survey: Artificial Intelligence, Computational Thinking and Learning. KI-Künstliche Intelligenz, 36(1), 5–16.
Fagerlund, J., Häkkinen, P., Vesisenaho, M., & Viiri, J. (2021). Computational Thinking in Programming with Scratch in Primary Schools: A Systematic Review. Computer Applications in Engineering Education, 29(1), 12–28.
Farquhar, J., Michels, N., & Robson, J. (2020). Triangulation in industrial qualitative case study research: Widening the scope. Industrial Marketing Management, 87, 160–170.
Helda, H., & Syahrani, S. (2022). National Standards of Education in Contents Standards and Education Process Standards in Indonesia. Indonesian Journal of Education (INJOE), 2(3), 257–269.
Herman, T., Akbar, A., Farokhah, L., Febriandi, R., Zahrah, R. F., Febriani, W. D., Kurino, Y. D., & Abidin, Z. (2024). Kecakapan Abad 21: Literasi Matematis, Berpikir Matematis, dan Berpikir Komputasi. Indonesia Emas Group.
Hidayati, N., Hidayati, D., Saputro, Z. H., & Lestari, T. (2023). Implementasi Pembelajaran Projek pada Sekolah Penggerak di Era Digital. Journal of Education and Teaching (JET), 4(1), 69–82.
Hooshyar, D., Malva, L., Yang, Y., Pedaste, M., Wang, M., & Lim, H. (2021). An Adaptive Educational Computer Game: Effects on Students’ Knowledge and Learning Attitude in Computational Thinking. Computers in Human Behavior, 114(1), 106575.
Irvani, A. I., Rochintaniawati, D., Riandi, R., Sinaga, P., & Henukh, A. (2024). Analysis of Quantum Physics Lectures from the Perspective of the MBKM and OBE Based Higher Education Curriculum. Jurnal Pendidikan Fisika Dan Teknologi, 10(1), 44–54. https://doi.org/10.29303/jpft.v10i%601.6390
Irvani, A. I., Warliani, R., & Fauziyyah, S. A. (2020). Analysis of Students Problem Solving Skill from Online Worksheets with Integration of Video Demonstration. International Conference on Learning and Advanced Education (ICOLAE), Surakarta: UMS, Retrieved Desmber, 2020
Juldial, T. U. H., & Haryadi, R. (2024). Analisis Keterampilan Berpikir Komputasional dalam Proses Pembelajaran. Jurnal Basicedu, 8(1), 136–144.
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.
Li, Q. (2021). Computational Thinking and Teacher Education: An Expert Interview Study. Human Behavior and Emerging Technologies, 3(2), 324–338. https://doi.org/10.1002/hbe2.224
Li, Y., Schoenfeld, A. H., diSessa, A. A., Graesser, A. C., Benson, L. C., English, L. D., & Duschl, R. A. (2020). Computational Thinking is More About Thinking than Computing. In Journal for STEM Education Research, 3(1), 1–18. Springer.
Martínez, M. L., Lévêque, O., Benítez, I., Hardebolle, C., & Zufferey, J. D. (2022). Assessing computational thinking: Development and validation of the Algorithmic Thinking Test for adults. Journal of Educational Computing Research, 60(6), 1436–1463.
Maulidiyah, H., & Susarno, L. H. (2024). E-Modul dalam Mata Pelajaran Informatika untuk Upaya Meningkatkan Kemampuan Computational Thinking dan Literasi Digital. EduInovasi: Journal of Basic Educational Studies, 4(1), 586–597.
Nouri, J., Zhang, L., Mannila, L., & Norén, E. (2020). Development of Computational Thinking, Digital Competence and 21st Century Skills when Learning Programming in K-9. Education Inquiry, 11(1), 1–17.
Nurtanto, M., Kholifah, N., Masek, A., Sudira, P., & Samsudin, A. (2021). Crucial Problems in Arranged the Lesson Plan of Vocational Teacher. International Journal of Evaluation and Research in Education, 10(1), 345–354.
Polat, E., Hopcan, S., Kucuk, S., & Sisman, B. (2021). A Comprehensive Assessment of Secondary School Students’ Computational Thinking Skills. British Journal of Educational Technology, 52(5), 1965–1980.
Putri, I. A., Tanjung, M. S., & Siregar, R. (2024). Studi Literatur: Pentingnya Berpikir Komputasional dalam Meningkatkan Kemampuan Pemecahan Masalah Matematis Peserta Didik. Bilangan: Jurnal Ilmiah Matematika, Kebumian Dan Angkasa, 2(2), 23–33.
Raymond, E. T., Cassidy, M., & Puttick, G. (2021). Science Teachers can Teach Computational Thinking through Distributed Expertise. Computers & Education, 173(1), 104284. https://doi.org/10.1016/j.compedu.2021.104284
Rey, Y. A. R. del, 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.
Susanto, D., & Jailani, M. S. (2023). Teknik Pemeriksaan Keabsahan Data dalam Penelitian Ilmiah. QOSIM: Jurnal Pendidikan, Sosial & Humaniora, 1(1), 53–61.
Syahidi, K., Hizbi, T., Hidayanti, A., & Fartina, F. (2020). The Effect of PBL Model Based Local Wisdom Towards Studentâ€TM s Learning Achievements on Critical Thinking Skills. Kasuari: Physics Education Journal (KPEJ), 3(1), 61–68.
Tedre, M., & Denning, P. J. (2021). Computational Thinking: a Professional and Historical Perspective. In Computational Thinking in Education, 1(1), 1–17. Routledge.
Whalley, J., Settle, A., & Luxton-Reilly, A. (2021). Novice reflections on debugging. Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (pp. 73–79). United States: Association for Computing Machinery. Retrieved March, 2021
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