Peluang Integrasi Computational Thinking dalam Pembelajaran Matematika untuk Eksplorasi Konsep Geometri : A Systematic Literature Review

Authors

  • Milah Nurkamilah Universitas Pendidikan Indonesia
  • Dadang Juandi Universitas Pendidikan Indonesia

DOI:

https://doi.org/10.35568/naturalistic.v9i1.4851

Keywords:

Computational thinking, Geometry, Mathematics, Technology, SLR

Abstract

Proses akuisisi pengetahuan oleh siswa bukanlah reproduksi konten yang harus dipalajari, termasuk dalam matematika. Bagaimanapun guru perlu membangun lingkungan belajar yang dapat memfasilitasi peserta didik dalam mengkonsruksi pengetahuannya. Penelitian ini merupakan Systematic Literature Review (SLR) yang bertujuan untuk mendeskripikan peluang integrasi Computational Thinking dalam Pembelajaran Geometri secara empiris dari hasil penelitian tentang integrasi Computational Thinking (CT) dengan pembelajaran Matematika sehingga dapat memberikan insight yang baru dalam mengembangkan desain pembelajaran geometri dengan integrasi CT mengingat terdapat konsep geometri di kehidupan sehari-hari yang tidak dapat dipelajari menggunakan cara biasa karena keragamannya. Hasil penelitian menunjukkan bahwa CT dan konten matematika dapat dijadikan konteks dalam pembelajaran sekaligus orientasi hasil belajar, penggunaan teknologi seperti software geometri, scratch, robotic dan aplikasi computer lain dapat membantu pengembangan pembelajaran yang menggunakan framework CT teutama dalam eksplorasi konsep geometri, sehingga peluang untuk pengembangan pembelajaran konsep-konsep geomteri sangat terbuka.

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References

Cansu, F. K., & Cansu, S. K. (2019). An Overview of Computational Thinking. International Journal of Computer Science Education in Schools, 3(1), 17–30. https://doi.org/10.21585/ijcses.v3i1.53

Fenyvesi, Kristof; Park, Ho-Gul; Choi, Taeyoung; Song, Kwangcheol; Ahn, Seungsuk. (2016). Modelling Environmental Problem-Solving through STEAM Activities : 4Dframes Warka Water Workshop. Proceedings of Bridges 2016 : Mathematics, Music, Art, Architecture, Education, Culture. Bridges Finland, 601–608. http://archive.bridgesmathart.org/2016/bridges2016-601.pdf

Harmini, T., Annurwanda, P., & Suprihatiningsih, S. (2020). COMPUTATIONAL THINKING ABILITY STUDENTS BASED ON GENDER IN CALCULUS LEARNING. AKSIOMA: Jurnal Program Studi Pendidikan Matematika, 9(4), 977. https://doi.org/10.24127/ajpm.v9i4.3160

Helsa, Y., Suparman, Juandi, D., Turmudi, & Ghazali, M. B. (2023). A Meta-Analysis of the Utilization of Computer Technology in Enhancing Computational Thinking Skills: Direction for Mathematics Learning. International Journal of Instruction, 16(2), 735–758. https://doi.org/10.29333/iji.2023.16239a

Isharyadi, R., & Juandi, D. (2023). A Systematics Literature Review of Computational Thinking in Mathematics Education: Benefits and Challenges. Formatif: Jurnal Ilmiah Pendidikan MIPA, 13(1). https://doi.org/10.30998/formatif.v13i1.15922

Jiang, B., Zhao, W., Gu, X., & Yin, C. (2021). Understanding the relationship between computational thinking and computational participation: a case study from Scratch online community. Educational Technology Research and Development, 69(5), 2399–2421. https://doi.org/10.1007/s11423-021-10021-8

Keane, L., & Design, E. (2016). STEAM by Design. Design and Technology Education, 21(1), 61–82.

Kilhamn, C., Bråting, K., Helenius, O., & Mason, J. (2022). Variables in early algebra: exploring didactic potentials in programming activities. ZDM - Mathematics Education. https://doi.org/10.1007/s11858-022-01384-0

Lodi, M., & Martini, S. (2021). Computational Thinking, Between Papert and Wing. Science and Education, 30(4), 883–908. https://doi.org/10.1007/s11191-021-00202-5

Moon, P. F., Himmelsbach, J., Weintrop, D., & Walkoe, J. (2023). Developing preservice teachers’ intuitions about computational thinking in a mathematics and science methods course. Journal of Pedagogical Research, 7(2), 5–20. https://doi.org/10.33902/JPR.202318599

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. https://doi.org/10.1080/20004508.2019.1627844

OECD. (2014). PISA 2012 Results: What Students Know and Can Do – Student Performance in Mathematics, Reading and Science (Revised). OECD Publishing.

Papert, S. (1980). Mindstorms (Children, Computers, and Powerfull Ideas). In Basic Books, Inc. Basic Books, Inc.

Posicelskaya, M. A. (2023). Constructive Combinatorics in Elementary School Mathematics. Doklady Mathematics, 107, S52–S77. https://doi.org/10.1134/S106456242370059X

Sala-Sebastià, G., Breda, A., Seckel, M. J., Farsani, D., & Alsina, À. (2023). Didactic–Mathematical–Computational Knowledge of Future Teachers When Solving and Designing Robotics Problems. Axioms, 12(2). https://doi.org/10.3390/axioms12020119

Seckel, M. J., Breda, A., Farsani, D., & Parra, J. (2022). Reflections of future kindergarten teachers on the design of a mathematical instruction process didactic sequences with the use of robots. Eurasia Journal of Mathematics, Science and Technology Education, 18(10). https://doi.org/10.29333/ejmste/12442

Selby, C. C., & Woollard, J. (2014). Computational Thinking: The Developing Definition. SIGSE.

So, H. J., Jong, M. S. Y., & Liu, C. C. (2020). Computational Thinking Education in the Asian Pacific Region. In Asia-Pacific Education Researcher (Vol. 29, Issue 1). Springer. https://doi.org/10.1007/s40299-019-00494-w

Sorguç, A. G., & Selçuk, S. A. (2013). Computational Models in Architecture: Understanding Multi-Dimensionality and Mapping. Nexus Network Journal, 15(2), 349–362. https://doi.org/10.1007/s00004-013-0150-z

Sunendar, A., Santika, S., Supratman, & Nurkamilah, M. (2020). The Analysis of Mathematics Students’ Computational Thinking Ability at Universitas Siliwangi. Journal of Physics: Conference Series, 1477(4). https://doi.org/10.1088/1742-6596/1477/4/042022

Suryadi, D. (2023). Landasan Filosofis Penelitian Desain Didaktis (DDR) (2nd ed.). Gapura Press.

Syahmani, S., Hafizah, E., Sauqina, S., Adnan, M. Bin, & Ibrahim, M. H. (2021). STEAM Approach to Improve Environmental Education Innovation and Literacy in Waste Management: Bibliometric Research. Indonesian Journal on Learning and Advanced Education (IJOLAE), 3(2), 130–141. https://doi.org/10.23917/ijolae.v3i2.12782

Valovičová, L., Ondruška, J., Zelenický, L., Chytrý, V., & Medová, J. (2020). Enhancing computational thinking through interdisciplinary steam activities using tablets. Mathematics, 8(12), 1–15. https://doi.org/10.3390/math8122128

Walton, M., Walkoe, J., Elby, A., Fofang, J., & Weintrop, D. (n.d.). Teachers’ Conceptualizations of Computational and Mathematical Thinking. https://www.anotemos.com

Weintrop, D., Walkoe, J., Walton, M., Bih, J., Moon, P., Elby, A., Bennett, B., & Kantzer, M. (2022). Sphero.Math: A Computational Thinking-Enhanced Fourth Grade Mathematics Curriculum. ACM.

Whitney-Smith, R. M. (2023). The emergence of computational thinking in national mathematics curricula: An Australian example. Journal of Pedagogical Research, 7(2), 41–55. https://doi.org/10.33902/JPR.202318520

Wing, J. M. (2006a). Computational Thinking. Communications of the ACM, 49(3), 33–35. https://doi.org/doi:10.1145/1118178.1118215

Wing, J. M. (2006b). Computational Thinking. Communications of the ACM, 49(3), 33–35. https://doi.org/doi:10.1145/1118178.1118215

Wing, J. M. (2008a). Computational thinking and thinking about computing. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 366(1881), 3717–3725.

Wing, J. M. (2008b). Computational thinking and thinking about computing. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 366(1881), 3717–3725.

Wing, J. M. (2010). Computational Thinking: What and Why?

Zheltukhina, M. R., Kislitsyna, N. N., Sergeeva, O. V., Knyazeva, S. A., Polovikov, I. P., & Tukhvatullina, L. R. (2023). Trends of cultural studies in science education: A systematic review from 1973 to 2023. In Eurasia Journal of Mathematics, Science and Technology Education (Vol. 19, Issue 12). Modestum LTD. https://doi.org/10.29333/ejmste/13837

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Published

2024-10-31

How to Cite

Nurkamilah, M., & Juandi, D. (2024). Peluang Integrasi Computational Thinking dalam Pembelajaran Matematika untuk Eksplorasi Konsep Geometri : A Systematic Literature Review . Naturalistic: Jurnal Kajian Dan Penelitian Pendidikan Dan Pembelajaran, 9(1), 461–470. https://doi.org/10.35568/naturalistic.v9i1.4851