Computational Thinking of Indonesian Junior High School Students in Solving Geometry Problems

Budi Rianto, Kusnandi Kusnandi, Al Jupri

Abstract


Abstract: Mathematics education in the digital era needs to develop computational thinking as a problem-solving skill relevant to the challenges of the 21st century. This skill is closely related to logic and problem solving, which are the core of mathematics learning, such as in geometry. However, how computational thinking is implemented by students when they face geometry problems still needs to be explored further. This study aims to analyze and describe the computational thinking (CT) of junior high school students in Indonesia in solving geometry problems. The Participants were 25 students in grade VIII of an Indonesian junior high school. This study used a qualitative research design. Data collection techniques were carried out through tests and interviews. Data analysis techniques consisted of data reduction, data presentation, and conclusion. The results showed that 60% of students could use CT to solve geometry problems (achieving KKM), while 40% were still below KKM. CT components that students with scores above KKM can achieve include abstraction, decomposition, and algorithms. Meanwhile, students with low scores were identified as having not achieved any of the specified CT components. The computational thinking of junior high school students in geometry has developed quite well. Integrating CT into geometry learning can be a powerful tool for students to solve complex geometry problems.        

 

Keywords: computational thinking, problem solving, geometry.


DOI: http://dx.doi.org/10.23960/jpmipa/v25i1.pp300-312


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References


Angeli, C., Voogt, J., Fluck, A., Webb, M., Cox, M., Malyn-Smith, J., & Zagami, J. (2016). A K-6 computational thinking curriculum framework: Implications for teacher knowledge. Journal of Educational Technology & Society, 19(3), 47-57.

Atmatzidou, S., & Demetriadis, S. (2016). Advancing students’ computational thinking skills through educational robotics: A study on age and gender relevant differences. Robotics and Autonomous Systems, 75, 661-670.

Backus, J. W., Bauer, F. L., Green, J., Katz, C., McCarthy, J., Perlis, A. J., ... & Woodger, M. (1960). Report on the algorithmic language ALGOL 60. Communications of the ACM, 3(5), 299-314.

Backus, J. W., Bauer, F. L., Green, J., Katz, C., McCarthy, J., Perlis, A. J., ... & Woodger, M. (1963). Revised report on the algorithm language ALGOL 60. Communications of the ACM, 6(1), 1-17.

Barr, D., Harrison, J., & Conery, L. (2011). Computational thinking: A digital age skill for everyone. Learning & Leading with Technology, 38(6), 20-23.

Barr, V., & Stephenson, C. (2011). Bringing computational thinking to K-12: What is involved and what is the role of the computer science education community?. Acm Inroads, 2(1), 48-54.

Berland, M., & Wilensky, U. (2015). Comparing virtual and physical robotics environments for supporting complex systems and computational thinking. Journal of Science Education and Technology, 24, 628-647.

Bers, M. U., Flannery, L., Kazakoff, E. R., & Sullivan, A. (2014). Computational thinking and tinkering: Exploration of an early childhood robotics curriculum. Computers & Education, 72, 145-157.

Chan, S. W., Looi, C. K., Ho, W. K., Huang, W., Seow, P., & Wu, L. (2021). Learning number patterns through computational thinking activities: A Rasch model analysis. Heliyon, 7(9).

Creswell, J. W., & Clark, V. L. P. (2017). Designing and conducting mixed methods research. Sage publications.

De Bono, E. (1976). Teaching Thinking. London: Temple Smith.

Denning, P. J. (2017). Remaining trouble spots with computational thinking. Communications of the ACM, 60(6), 33-39.

Fauzi, I., & Arisetyawan, A. (2020). Analisis kesulitan belajar siswa pada materi geometri di sekolah dasar. Kreano, Jurnal Matematika Kreatif-Inovatif, 11(1), 27-35.

Grover, S., & Pea, R. (2013). Computational thinking in K–12: A review of the state of the field. Educational researcher, 42(1), 38-43.

Guzdial, M. (2008). Education paving the way for computational thinking. Communications of the ACM, 51(8), 25-27.

Hanid, M. F. A., Said, M. N. H. M., Yahaya, N., & Abdullah, Z. (2022). The elements of computational thinking in learning geometry by using augmented reality application. International Journal of Interactive Mobile Technologies, 16(2).

Haryanti, M. D., Herman, T., & Prabawanto, S. (2019, February). Analysis of students’ error in solving mathematical word problems in geometry. In Journal of Physics: Conference Series (Vol. 1157, No. 4, p. 042084). IOP Publishing.

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.

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).

Jelatu, S., Sariyasa, & Ardana, I. (2018). Effect of GeoGebra-Aided REACT Strategy on Understanding of Geometry Concepts. International journal of instruction, 11(4), 325-336.

Lavigne, H. J., Lewis-Presser, A., & Rosenfeld, D. (2020). An exploratory approach for investigating the integration of computational thinking and mathematics for preschool children. Journal of Digital Learning in Teacher Education, 36(1), 63-77.

Ma’rifah, N., Junaedi, I., & Mulyono, M. (2019). Tingkat Kemampuan Berpikir Geometri Siswa Kelas VIII. In Prosiding Seminar Nasional Pascasarjana (PROSNAMPAS) (Vol. 2, No. 1, pp. 251-254).

Md Yunus, A. S., Mohd Ayub, A. F., & Hock, T. T. (2019). Geometric thinking of malaysian elementary school students. International Journal of Instruction, 12(1), 1095-1112.

Muir, T., Beswick, K., & Williamson, J. (2008). “I’m not very good at solving problems”: An exploration of students’ problem solving behaviours. The Journal of Mathematical Behavior, 27(3), 228-241.

National Research Council. (2010). Report of a workshop on the scope and nature of computational thinking. National Academies Press.

Naufal, M. A., Abdullah, A. H., Osman, S., Abu, M. S., & Ihsan, H. (2021). The Effectiveness of Infusion of Metacognition in van Hiele Model on Secondary School Students' Geometry Thinking Level. International Journal of Instruction, 14(3), 535-546.

Nordby, S. K., Bjerke, A. H., & Mifsud, L. (2022). Primary mathematics teachers’ understanding of computational thinking. KI-Künstliche Intelligenz, 36(1), 35-46.

Papert, S. A. (2020). Mindstorms: Children, computers, and powerful ideas. Basic books.

Papert, S., & Harel, I. (1991). Situating constructionism. constructionism, 36(2), 1-11.

Pei, C., Weintrop, D., & Wilensky, U. (2018). Cultivating computational thinking practices and mathematical habits of mind in lattice land. Mathematical thinking and learning, 20(1), 75-89.

Pörn, R., Hemmi, K., & Kallio-Kujala, P. (2021). Inspiring or confusing--a study of finnish 1-6 teachers' relation to teaching programming. LUMAT: International Journal on Math, Science and Technology Education, 9(1), 366-396.

Rusyda, N. A., Kusnandi, K., & Suhendra, S. (2017, September). A cognitive analysis of students’ mathematical problem solving ability on geometry. In Journal of Physics: Conference Series (Vol. 895, No. 1, p. 012081). IOP Publishing.

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), em2163.

Selby, C., & Woollard, J. (2013). Computational thinking: the developing definition.

Shute, V. J., Sun, C., & Asbell-Clarke, J. (2017). Demystifying computational thinking. Educational research review, 22, 142-158.

Sugiyono. (2018). Metode Penelitian Kualitatif. Bandung: Alfabeta.

Sulistiowati, D. L., Herman, T., & Jupri, A. (2019, February). Student difficulties in solving geometry problem based on Van Hiele thinking level. In Journal of Physics: Conference Series (Vol. 1157, No. 4, p. 042118). IOP Publishing.

Sunendar, A., Santika, S., & Nurkamilah, M. (2020, March). The Analysis of Mathematics Students’ Computational Thinking Ability at Universitas Siliwangi. In Journal of Physics: Conference Series (Vol. 1477, No. 4, p. 042022). IOP Publishing.

van Borkulo, S., Chytas, C., Drijvers, P., Barendsen, E., & Tolboom, J. (2021, October). Computational thinking in the mathematics classroom: Fostering algorithmic thinking and generalization skills using dynamic mathematics software. In The 16th Workshop in Primary and Secondary Computing Education (pp. 1-9).

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.

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.

Wing, J. M. (2010). Computational thinking: What and why?. Unpublished manuscript. Pittsburgh, PA: Computer Science Department, Carnegie Mellon University. Retrieved from https://www.cs.cmu.edu/~CompThink/resources/TheLinkWing.pdf

Yadav, A., Mayfield, C., Zhou, N., Hambrusch, S., & Korb, J. T. (2014). Computational thinking in elementary and secondary teacher education. ACM Transactions on Computing Education (TOCE), 14(1), 1-16.


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