BERPIKIR KOMPUTASIONAL SISWA SMP DALAM MENYELESAIKAN MASALAH MATEMATIKA
Abstract
The important skill to be applied in the 21st century is computational thinking (CT). Students need to develop computational thinking skills by being trained to solve open-ended problems. The descriptive qualitative method is the method used in this research. This research aims to describe the computational thinking skills of junior high school students in solving open-ended mathematical problems by explaining each component of computational thinking, namely abstraction, decomposition, algorithmic thinking, generalization, and debugging. The subjects of the research were several 8th-grade students from a private junior high school in Surabaya, consisting of 55 students who had been given TKM and TPM. Then, 3 students with different categories who provided unique answers were selected. Student in the low computational thinking category (BK1) do not fulfill all computational components. Student in the moderate category (BK2) have incomplete results in the final solution, and the problem-solving methods provided are also inadequate, resulting in imperfect final outcomes. Student in the high computational thinking category fulfill all computational components. Student (BK3) provides correct and varied problem-solving methods and solutions.
References
Adler, R. F., & Kim, H. (2018). Enhancing future K-8 teachers’ Computational Thinking Skills through Modeling and Simulations. Education and Information Technologies, 23(4), 1501–1514.
Agustianingsih, R., & Mahmudi, A. (2019). How to design open-ended questions? : Literature review. Journal of Physics: Conference Series, 1320(1), 1-7.
Aziza, M. (2021). A Teacher Questioning Activity: The Use of Oral Open-ended Questions in Mathematics Classroom. Qualitative Research in Education, 10(1), 31-61.
Csizmadia, A., Curzon, P., Dorling, M., Humphreys, S., Ng, T., Selby, C., &Woollard,J. (2015). Computational thinking: A guide for teachers.
Ezeamuzie, N. O. (2022). Abstractive-Based Programming Approach to Computational Thinking: Discover, Extract, Create, and Assemble. Journal of Educational Computing Research, 605-638.
Fauji, T., Sampoerno, P. D., & Hakim, L. E. (2022). Penilaian Berfikir Komputasi sebagai Kecakapan Baru dalam Literasi Matematika: Prosiding Seminar Nasional Fakultas Tarbiyah dan Keguruan Universitas Islam Negeri Alauddin Makassar, 498-514.
Kemendikbud. (2017). Implementasi Kecakapan Abad 21 Kurikulum 2013 di Sekolah Menengah.
Kamil, M. R., Imami, A. I., & Abadi, A. P. (2021). Analisis kemampuan berpikir komputasional matematis Siswa Kelas IX SMP Negeri 1 Cikampek pada materi pola bilangan. AKSIOMA: Jurnal Matematika dan Pendidikan Matematika. 12(2), 259-270.
Kılıç, S., Gökoğlu, S., & Öztürk, M. (2021). A Valid and Reliable Scale for Developing Programming-Oriented Computational Thinking. Journal of Educational Computing Research, 59(2), 257–286.
Kong, S. C., & Wang, Y. Q. (2021). Item response analysis of Computational Thinking practices: Test characteristics and students’ learning abilities in visual programming contexts. Computers in Human Behavior, 122(2021), 1-11.
Lai, R. P. Y. (2022). Teachers’ Ontological Perspectives of Computational Thinking and Assessment: A Text Mining Approach. Journal of Educational Computing Research, 60(3), 661–695.
Lestari, A. C., & Annizar, A. M. (2020). Proses Berpikir Kritis Siswa dalam Menyelesaikan Masalah PISA Ditinjau dari Kemampuan Berpikir Komputasi. Jurnal Kiprah, 8(1), 46–55.
Lubis, Y. A., Asmin, & Sinaga, B. (2021). Development of Macromedia Flash-Assisted Mathematics Learning Media with the Application of Problem Based Learning Models to Improve Computational Thinking Ability and Self-Efficacy of Class X High School Students. Journal of Education and Practice, 12(34), 19–26.
Maharani, S., Kholid, M. N., Pradana, L. N., & Nusantara, T. (2019). Problem solving in the context of the context of computational thinking. Infinity Journal, 8(2), 109.
Marsico, M. D., Sciarrone, F., Sterbini, A., & Temperini, M. (2017). Supporting Mediated Peer-Evaluation to Grade Answers to Open-Ended Questions. EURASIA Journal of Mathematics, Science and Technology Education, 13(4), 1085-1106.
Partono, P., Wardhani, H. N., Setyowati, N. I., Tsalitsa, A., & Putri, S. N. (2021). Strategi Meningkatkan Kompetensi 4C (Critical Thinking, Creativity, Communication, & Collaborative). Jurnal Penelitian Ilmu Pendidikan, 14(1), 41–52.
Thalhah, S. Z., Angriani, A. D., Nur, F., & Kusumayanti, A. (2021). Development of Instrument Test Computational Thinking Skills IJHS/JHS Based RME Approach. Mathematics Teaching Research Journal.13(4), 202-220.
The LEGO® Education Community. (2016). LEGO® Education WeDo 2.0 Computational Thinking teacher’s guide. Inggris The LEGO Group.
Tim Olimpiade Komputer Indonesia. (2018). Tantangan Bebras Indonesia 2018 Bahan Belajar Computational Thinking Tingkat SMA. NBO Indonesia.
Tresnawati, D., Setiawan, R., Fitriani, L., Mulyani, A., Rahayu, S., Nasrullah, M. R., Septiana, Y., Fatimah, D. D. S., Satria, E., Gunadhi, E., Latifah, A., & Sutedi, A. (2020). Membentuk Cara Berpikir Komputasi Siswa di Garut Dengan Tantangan Bebras. Jurnal PkM MIFTEK, 1(1), 55–60.
Senawongsa, C., Inprasitha, M., & Sudejamnong, A. (2019). Boundaries of the Community of Teachers’ Implementing Mathematics Textbooks with Lesson Study and Open Approach. Creative Education, 10(09), 1999–2012.
Simanjuntak, M. D. R. (2019). Membangun Keterampilan 4C Siswa dalam Menghadapi Revolusi Industri 4.0. 3, 9. Prosiding Seminar Nasional Fakultas Ilmu Sosial Universitas Negeri Medan, 2019. 3, 921 - 929
Shen, J., Chen, G., Barth-Cohen, L., Jiang, S., & Eltoukhy, M. (2022). Connecting computational thinking in everyday reasoning and programming for elementary school students. Journal of Research on Technology in Education, 54(2), 205–225.
Shute, V. J., Sun, C., & Asbell-Clarke, J. (2017). Demystifying computational thinking. Educational Research Review, 22, 142–158.
Sychev, O., Anikin, A., & Prokudin, A. (2020). Automatic grading and hinting in open-ended text questions. Cognitive Systems Research, 59, 264–272.
Ye, H., Liang, B., Ng, O.-L., & Chai, C. S. (2023). Integration of computational thinking in K-12 mathematics education: A systematic review on CT-based mathematics instruction and student learning. International Journal of STEM Education, 10(1), 1–26.
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