Analysis of Student Computational Thinking in Solving Social Statistics Problems

Analysis of Student Computational Thinking in Solving Social Statistics Problems

Authors

  • Reni Dwi Susanti Universitas Muhammadiyah Malang
  • Marhan Taufik universitas muhammadiyah malang

DOI:

https://doi.org/10.35706/sjme.v5i1.4376

Abstract

This study aims to see students' computational thinking in solving social statistics questions and to find out why students experience their mistakes. This type of research uses a descriptive qualitative approach. The subjects used in this study were Governmental Science students taking the Social Statistics course. Data collection techniques were carried out by observation and tests. The instruments used in this study were the observation sheet and the test question sheet. The analysis is carried out by reducing the data first, then presenting the data, and ending by concluding the results of the computational thinking indicator. The results showed that all aspects of computational thinking have been carried out by students, starting from Decomposition, Pattern Recognition, Abstraction, and Algorithm design. Students get the highest percentage, namely algorithm design with 84% and the lowest on decomposition with 65.5%. The cause of errors, in general, is because students are not used to completing in a structured manner. Students are accustomed to solving problems by directly substituting values into the formula without first writing down what is known and looking for what is needed in the questions first.

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References

Città, G., Gentile, M., Allegra, M., Arrigo, M., Conti, D., Ottaviano, S., Reale, F., & Sciortino, M. (2019). The effects of mental rotation on computational thinking. Computers and Education, 141(May). https://doi.org/10.1016/j.compedu.2019.103613

Durak, H. Y., & Saritepeci, M. (2018). Analysis of the relation between computational thinking skills and various variables with the structural equation model. Computers and Education, 116. https://doi.org/10.1016/j.compedu.2017.09.004

Gazali, R. Y. (2016). Pembelajaran Matematika Yang Bermakna. Math Didactic, 2(3), 181–190. https://doi.org/10.33654/math.v2i3.47

Kong, S. C., & Li, P. (2016). A case study illustrating coding for computational thinking development. ICCE 2016 - 24th International Conference on Computers in Education: Think Global Act Local - Main Conference Proceedings.

Kusumawardani, D. R., Wardono, & Kartono. (2018). Pentingnya Penalaran Matematika dalam Meningkatkan Kemampuan Literasi Matematika. Prisma, 1(1), 588–595.

Nafi’an, M. I. (2011). P – 53 Kemampuan Siswa Dalam Menyelesaikan Soal Cerita. Seminar Nasional Matematika Dan Pendidikan Matematika Jurusan Pendidikan Matematika FMIPA UNY, 978–979.

Nam, C.-M. (2011). An Analysis of Teaching and Learning Activities in Elementary Mathematics Based on Computational Thinking. Journal of Educational Research Institute, 13(2). https://doi.org/10.15564/jeri.2011.11.13.2.325

Olabe, J. C., Basogain, X., & Olabe, M. Á. (2019). Modern education with a computational model of the mind. ACM International Conference Proceeding Series. https://doi.org/10.1145/3371647.3371666

Rahman, F., & Dkk. (2011). Impact of Discussion Method on Students Performance. International Journal of Business and Social Science, 2(7), 84–94.

Swaid, S. I. (2015). Bringing Computational Thinking to STEM Education. Procedia Manufacturing, 3(Ahfe), 3657–3662. https://doi.org/10.1016/j.promfg.2015.07.761

Syarifah, L. L. (2017). Analisis Kemampuan Pemahaman Matematis Pada Mata Kuliah Pembelajaran Matematika Sma Ii. Jurnal Penelitian Dan Pembelajaran Matematika, 10(2), 57–71. https://doi.org/10.30870/jppm.v10i2.2031

Ulpah, M. (2009). Belajar Statistika: Mengapa dan Bagaimana? INSANIA : Jurnal Pemikiran Alternatif Kependidikan, 14(3), 325–435. https://doi.org/10.24090/insania.v14i3.354

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Published

2021-01-29 — Updated on 2021-03-19

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How to Cite

Susanti, R. D., & Taufik, M. . (2021). Analysis of Student Computational Thinking in Solving Social Statistics Problems: Analysis of Student Computational Thinking in Solving Social Statistics Problems. SJME (Supremum Journal of Mathematics Education), 5(1). https://doi.org/10.35706/sjme.v5i1.4376 (Original work published January 29, 2021)

Issue

Vol. 5 No. 1 (2021): January 2021

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Article

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