Pentingnya Berpikir Komputasional dalam Pembelajaran Matematika
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Mar 15, 2023
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Abstract
Computational thinking is a way of thinking that refers to the ability to solve problems using the concepts used in computing. These concepts include systematic problem solving, data analysis, algorithms, abstraction, and information representation. The method used in this research is library research. Computational thinking not only helps us acquire computer-related skills, but can also enhance our ability to solve problems in other domains. Several studies have found that computational thinking is beneficial for improving mathematical abilities, reasoning abilities, and creative thinking.
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N. Christi, S., & Rajiman, W. (2023). Pentingnya Berpikir Komputasional dalam Pembelajaran Matematika. Journal on Education, 5(4), 12590-12598. https://doi.org/10.31004/joe.v5i4.2246
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References
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Wing, J. M. (2006). Computational Thinking. COMMUNICATIONS OF THE ACM, 49(3), 33–35.
Wing, J. M. (2008). Computational thinking and thinking about computing. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 366(1881), 3717–3725. https://doi.org/10.1098/rsta.2008.0118
Clements, D. H., Battista, M. T., & Sarama, J. (2001). Logo and Geometry. Journal for Research in Mathematics Education. Monograph, 10, 1–177. https://doi.org/doi.org/10.2307/749924
Denning, P., & Freeman, P. (2009). Computing’s paradigm. Communications Of The Acm, 52, 28–30.
DeSchryver, M. D., & Yadav, A. (2015). Creative and Computational Thinking in the Context of New Literacies: Working with Teachers to Scaffold Complex Technology-Mediated Approaches to Teaching and Learning. Society for Information Technology & Teacher Education, 23(3). http://www.learntechlib.org/p/151572/
Dijkstra, E. W. (1974). Self-stabilizing systems in spite of distributed control. Communications of the ACM, 17(11), 643–644. https://doi.org/10.1145/361179.361202
Gerosa, A., Koleszar, V., Tejera, G., Gómez-Sena, L., & Carboni, A. (2022). Educational Robotics Intervention to Foster Computational Thinking in Preschoolers: Effects of Children’s Task Engagement. Frontiers in Psychology, 13(June). https://doi.org/10.3389/fpsyg.2022.904761
Israel-Fishelson, R., Hershkovitz, A., Eguíluz, A., Garaizar, P., & Guenaga, M. (2021). The Associations Between Computational Thinking and Creativity: The Role of Personal Characteristicsv. Journal of Educational Computing Research, 58(8), 1415–1447. https://doi.org/doi.org/10.1177/0735633120940954
Katz, D. (1960). The functional approach to the study of attitudes. Public Opinion Quarterly, 24(2), 163–204. https://doi.org/10.1086/266945
Kazakoff, E. R., Sullivan, A., & Bers, M. U. (2013). The Effect of a Classroom-Based Intensive Robotics and Programming Workshop on Sequencing Ability in Early Childhood. Early Childhood Education Journal, 41(4), 245–255. https://doi.org/10.1007/s10643-012-0554-5
Marinus, E., Powell, Z., Thornton, R., McArthur, G., & Crain, S. (2018). Unravelling the cognition of coding in 3-to-6-year olds: The development of an assessment tool and the relation between coding ability and cognitive compiling of syntax in natural language. ICER 2018 - Proceedings of the 2018 ACM Conference on International Computing Education Research, 133–141. https://doi.org/10.1145/3230977.3230984
Mayer, R. ., & Wittrock, M. . (2006). Problem solving. Handbook of Educational Psychology.
Nagai, Y., Shimogoori, A., Ariga, M., & Georgiev, G. V. (2019). Future learning and design creativity competency. Proceedings of the International Conference on Engineering Design, ICED, 2019-August(August), 499–508. https://doi.org/10.1017/dsi.2019.54
Newell, A., Perlis, A. J., & Simon, H. A. (1967). Computer Science. 157(3795), 1373–1374. https://doi.org/https://doi.org/10.1126/science.157.3795.1373.c
Papert, S. (1980). MINDSTORMS: Children, Computers, and Powerful Ideas. In Nucl. Phys. (Vol. 13, Issue 1).
Papert, S. (1996). The Connected Family: Bridging the Digital Generation Gap. Worl, 221.
Román-González, M., Pérez-González, J. C., & Jiménez-Fernández, C. (2017). Which cognitive abilities underlie computational thinking? Criterion validity of the Computational Thinking Test. Computers in Human Behavior, 72, 678–691. https://doi.org/10.1016/j.chb.2016.08.047
Sarjono. DD. (2008). Panduan Penulisan Skripsi, (Yogyakarta : Jurusan Pendidikan Agama Islam, 2008), h.20
Scherer, R., Siddiq, F., & Viveros, B. S. (2019). The cognitive benefits of learning computer programming: A meta-analysis of transfer effects. Journal of Educational Psychology, 111(5), 764–792. https://doi.org/10.1037/edu0000314
Silva, E. F., Dembogurski, B. J., & Semaan, G. S. (2021). A literature review of computational thinking in early ages. International Journal of Early Years Education, 1–17. https://doi.org/10.1080/09669760.2022.2107491
Tang, X., Yin, Y., Lin, Q., Hadad, R., & Zhai, X. (2020). Assessing computational thinking: A systematic review of empirical studies. Computers and Education, 148(Mc 147). https://doi.org/10.1016/j.compedu.2019.103798
Tedre, M., & Denning, P. J. (2016). The long quest for computational thinking. ACM International Conference Proceeding Series, 120–129. https://doi.org/10.1145/2999541.2999542
Wing, J. M. (2006). Computational Thinking. COMMUNICATIONS OF THE ACM, 49(3), 33–35.
Wing, J. M. (2008). Computational thinking and thinking about computing. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 366(1881), 3717–3725. https://doi.org/10.1098/rsta.2008.0118