Improving Students' Mathematics Learning Outcomes through Polya's Computational Approach and Problem-Solving Approach

Authors

DOI:

https://doi.org/10.61650/dpjpm.v3i2.934

Keywords:

Learning outcomes, Computational Thinking, Improvement, Polya, Wilcoxon Signed Rank

Abstract

This study aims to analyze the improvement of students' mathematics learning outcomes through the application of the Computational Thinking approach and the Polya problem-solving approach. This study used a quasi-experimental method with a Non-Equivalent Control Group Design. The subjects were 28 students of class VIII A of SMP Negeri 4 Pasuruan as the experimental group and 23 students of class VIII B as the control group. The instruments used were pretest and posttest tests on the data centering material. Data analysis was carried out using the Wilcoxon Signed Rank test because most of the data were not normally distributed. The test results showed a significant improvement in both groups after treatment. However, the improvement achieved by students in the Computational Thinking group was higher than that of the Polya group. This proves that Computational Thinking is more effective in encouraging students to think systematically, analytically, and reflexively in solving mathematical problems.

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References

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Cheng, L. (2023). The Effects of Computational Thinking Integration in STEM on Students’ Learning Performance in K-12 Education: A Meta-analysis. Journal of Educational Computing Research, 61(2), 416–443. http://doi.org/10.1177/07356331221114183 DOI: https://doi.org/10.1177/07356331221114183

Cousins, I. T. (2020). Strategies for grouping per-and polyfluoroalkyl substances (PFAS) to protect human and environmental health. Environmental Science Processes and Impacts, 22(7), 1444–1460. http://doi.org/10.1039/d0em00147c DOI: https://doi.org/10.1039/D0EM00147C

Ernawati. (2020). Analysis of difficulties in solving mathematical problems categorized higher order thinking skills (HOTS) on the subject of rank and shape of the root according to polya stages. Journal of Physics Conference Series, 1563(1). http://doi.org/10.1088/1742-6596/1563/1/012041 DOI: https://doi.org/10.1088/1742-6596/1563/1/012041

Gholami, H. (2024). The Situation of Mathematical Problem Solving and Higher Order Thinking Skills in Traditional Teaching Method and Lesson Study Program. Mathematics Teaching Research Journal, 16(3), 241–264. Retrieved from https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85201188744&origin=inward

Jocius, R. (2021). Infusing Computational Thinking into STEM Teaching: From Professional Development to Classroom Practice. Educational Technology and Society, 24(4), 166–179. Retrieved from https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85117944020&origin=inward

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Published

2025-08-30

How to Cite

Chusniah, R., & Afifah, A. (2025). Improving Students’ Mathematics Learning Outcomes through Polya’s Computational Approach and Problem-Solving Approach . Delta-Phi: Jurnal Pendidikan Matematika, 3(2), 98–103. https://doi.org/10.61650/dpjpm.v3i2.934

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