HomeInternational Journal of Multidisciplinary: Applied Business and Education Researchvol. 5 no. 3 (2024)

Computational thinking in mathematical problem solving: Pattern recognition

Marhan Taufik | Akhsanul Inam | Reni Dwi Susanti

Discipline: Operational Research

 

Abstract:

Computational thinking is increasingly acknowledged as important in education to support the development of problem-solving skills in mathematics. Pattern recognition plays a significant role in solving mathematical problems using computational thinking. This qualitative research explores how students recognize patterns when solving mathematical problems using computational thinking. The study adopts a case study approach, with 46 subjects then chooses two students from the Mathematics Education Study Program selected through purposive sampling. Data collection methods involve tests and interviews in August. The data is qualitatively analyzed, involving reduction, data presentation, and concluding the research findings. The results indicate that the subjects recognized a pattern related to determining the height of a triangle, which was one of the assigned questions. The pattern emerged as the subjects identified the problem, decomposed it, recognized known and unknown information, and identified the relationship between sub-problems and task information. The identified pattern is crucial in addressing the problem in the given task.



References:

  1. Apriandi, D., Retnawati, H., & Abadi, A. M. (2023). How Computational Thinking Skills Students in Solving problems on pattern numbers? Young Scholar Symposium on Science and Mathematics Education, and Environment, 060007 (November 2021).
  2. Bocconi, S., Chioccariello, A., Dettori, G., Ferrari, A., Engelhardt, K., Kampylis, P., & Punie, Y. (2016). Developing Computational Thinking in Compulsory Education - Implications for policy and practice. In Joint Research Centre (JRC) (Issue June). https://doi.org/10.2791/792158
  3. Cadag, C. E. (2024). The Effectiveness of Individual Performance Commitment Review Form as an Evaluation Tool to Improve Teachers ’ Performance : Basis for Technical Assistance. International Journal of Multidisciplinary: Applied Business and Education Research, 5(2), 724–747. https://doi.org/10.11594/ijmaber.05.02.30
  4. Dong, Y., Cateté, V., Jocius, R., Lytle, N., Barnes, T., Albert, J., Joshi, D., Robinson, R., & Andrews, A. (2019). Prada: A practical model for integrating computational thinking in K-12 education. SIGCSE 2019 - Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 906–912. https://doi.org/10.1145/3287324.3287431
  5. Hewi, L., & Shaleh, M. (2020). Refleksi Hasil PISA (The Programme For International Student Assesment): Upaya Perbaikan Bertumpu Pada Pendidikan Anak Usia Dini). Jurnal Golden Age, 4(01), 30–41. https://doi.org/10.29408/jga.v4i01.2018
  6. Labusch, A., Eickelmann, B., & Vennemann, M. (2019). Computational Thinking Education. In Computational Thinking Education (pp. 65–78). Springer. https://doi.org/10.1007/978-981-13-6528-7
  7. Lacea, J. P., & Buscano, J. D. (2023). Development and Validation of Learning Activity Sheets in Rational Expressions and Linear Equations and Inequalities. International Journal of Multidisciplinary: Applied Business and Education Research, 4(5), 1494–1502. https://doi.org/10.11594/ijmaber.04.05.11
  8. Lester, F. K. (2013). Thoughts About Research On Mathematical Problem- Solving Let us know how access to this document benefits you . 10(1).
  9. Liljedahl;, P., Santos-Trigo;, M., Malaspina;, U., & Bruder, R. (2014). Problem Solving in Mathematics Education. In Encyclopedia of Mathematics Education. https://doi.org/10.1007/978-94-007-4978-8_129
  10. Maharani, S., Kholid, M. N., Pradana, L. N., & Nusantara, T. (2019). Problem Solving in the Context of Computational Thinking. Infinity Journal, 8(2), 109. https://doi.org/10.22460/infinity.v8i2.p109-116
  11. Miles, M. B. ., & Huberman, A. M. S. (2018). Qualitative Data Analysis. The SAGE Encyclopedia of Educational Research, Measurement, and Evaluation. https://doi.org/10.4135/9781506326139.n559
  12. Rara, A., 1, V., Yuli, T., Siswono, E., & Wiryanto, D. (2022). Hubungan Berpikir Komputasi dan Pemecahan Masalah Polya pada Pembelajaran Matematika di Sekolah Dasar. ANARGYA: Jurnal Ilmiah Pendidikan Matematika, 5(1), 115–126. http://jurnal.umk.ac.id/index.php/anargya
  13. Roblon, A., Cano Jr., A., Miñoza, G., Recomo, J., Monares, J., Arriola, M. A., & Polancos, Q. (2022). Teaching Strategies and Students’ Performance in Mathematics in a Borderless Classroom. International Journal of Multidisciplinary: Applied Business and Education Research, 3(12), 2498–2508. https://doi.org/10.11594/ijmaber.03.12.03
  14. Selby, C. (2018). How Can the Teaching of Programming Be Used to Enhance Computational Thinking Skills?. Thesis for the degree of Doctor of Philosophy. Faculty of Social and Human Sciences, University of Southampton.
  15. Susanti, R. D., Lukito, A., & Ekawati, R. (2023). Peirce’s Semiotic in Computational Thinking for Mathematical Problem-Solving Process. Journal of Higher Education Theory and Practice, 23(16), 102–112. https://doi.org/10.33423/jhetp.v23i16.6466
  16. Susanti, R. D., & Taufik, M. (2021). Analysis of Student Computational Thinking in Solving Social Statistics Problems. SJME (Supremum Journal of Mathematics Education), 5(1), 22–31. https://doi.org/10.35706/sjme.v5i1.4376
  17. Wing, J. M. (2006). Computational Thinking. Communication of the ACM, 49(3), 22–24.
  18. Yasin, M., & Nusantara, T. (2023). Characteristics of pattern recognition to solve mathematics problems in computational thinking. American Institute of Physics Conference Series, 2569, 40009. https://doi.org/10.1063/5.0112171