Systematic Literature Review: Research Trend Analysis on Problem-Based Learning and Computational Thinking in Mathematics Learning

Authors

DOI:

https://doi.org/10.30998/0wn51w29

Keywords:

Systematic Literature Review, Problem Based Learning, Computational Thinking, Mathematics

Abstract

The purpose of this study is to analyze trends and characteristics of related research. Problem-Based Learning (PBL) and computational thinking (CT) in mathematics learning. The background of this research is grounded in the importance of 21st century of higher-order thinking skills, contrasting with the currently limited research integrating PBL and CT.  The method used in this research is a Systematic Literature Review (SLR) with reference to the PRISMA guidelines. Data were collected from Google Scholar, Publish or Perish, Garuda, and Sinta databases, appliying inclusion criteria for the 2022-2026 period, a total of 20 relevant articles were selected. The results of this study show that the trend of PBL and CT research is increasing, although the trend is not stable each year. Most of these studies employ a qualitative approach, focusing primarily on elementary and secondary education. In addition, the results show that PBL improves students' critical thinking and problem-solving skills, while CT helps build students' systematic thinking patterns. However, research that combines PBL and CT is not much. In addition to providing an overview of research trends, this study provides a basis for developing learning models that combine PBL and CT in mathematics learning. Therefore, this reseach is expected to yield a significant impact by mapping current research trends and identifying existing gaps. It serves as a practical framework for mathematics educators to design lessons that integrate PBL with CT and as a guideline for future researchers to explore uncharted research gaps.

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References

Aisyah, F. N., & Gumala, Y. (2025). Implementation of the problem-based learning (PBL) model as an effort to improve critical thinking skills of elementary school students: Literature review. Papanda Journal of Mathematics and Sciences Research (PJMSR), 4, 1–14. https://doi.org/10.56916/pjmsr.v4i1.1027

Aisyanah, N., & Kurniasari, Z. (2017). The effect of the problem-based learning model with dice puzzle teaching aid strategy on interest and mathematics learning outcomes. JKPM (Journal of Mathematics Education Studies), 3(2), 33–44. https://doi.org/10.30998/jkpm.v3i1.2542

Asmal, S., & Yahfizham, Y. (2024). Literature review study: Students’ mathematical computational thinking skills on number patterns material. PENDEKAR: Journal of Character Education, 2(3). https://doi.org/10.51903/pendekar.v2i3.731

Hayati, R., & Kariadinata, R. (2025). Systematic literature review: Analysis of mathematical computational thinking skills in junior high school students in solving mathematical problems. Djati Conference Series, 54, 143–164.

Hermansyah, P., Pujiastuti, H., & Fathurrohman, M. (2024). Systematic literature review : Analysis of students’ mathematical literacy skills using the PBL learning model. JIIP: Scientific Journal of Education, 7, 12219–12224. https://doi.org/10.54371/jiip.v7i10.6108

Hikmah, M. S., Zaenuri, Z., & Walid, W. (2025). Systematic literature review: Integration of computational thinking in mathematics learning in the Society 5.0 era. Suska Journal of Mathematics Education, 11(1), 33–40. https://doi.org/10.24014/sjme.v11i1.27092

Inuhan, M., Lekitoo, J. N., Romsery, A., & Tetiwar, A. (2025). Computational thinking research trends in mathematics learning: A bibliometric analysis. Transformasi: Journal of Mathematics and Mathematics Education, 9(1), 45–59. https://doi.org/10.36526/tr.v9i1.5523

Khusna, H., & Saltifa, P. (2026). Integration of computational thinking in junior and senior high school mathematics learning: Systematic literature review. Jakarta Journal of Mathematics Education Research, 8(1), 13–26. https://doi.org/10.21009/jrpmj.v8i1.66093

Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gøtzsche, P. C., Ioannidis, J. P. A., Clarke, M., Devereaux, P. J., Kleijnen, J., & Moher, D. (2009). The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: Explanation and elaboration. PLOS Medicine, 6(7). https://doi.org/10.1371/journal.pmed.1000100

Mitrayana, M., & Nurlaelah, E. (2023). Computational thinking in mathematics learning: Systematic literature review. Indonesian Journal of Teaching in Science, 3(2), 133–142. https://doi.org/10.17509/ijotis.v3i2.60179

Murzal, R., Anggraini, V., & Haryono, Y. (2025). The application of the problem-based learning model on students’ mathematical concept understanding ability. JKPM (Journal of Mathematics Education Studies), 10(2), 207–214. https://doi.org/10.30998/jkpm.v10i2.28606

Nayyiroh, Z., Suwito, A., & Firmansyah, F. F. (2024). Literature study: Students’ skills in solving mathematics problems by integrating computational thinking. Journal of Educational Integration and Development, 4(3), 195–202. https://doi.org/10.55868/jeid.v4i3.358

Ningrum, S. D., Puspitasari, I., & Hidayat, M. C. (2025). Implementation of problem-based learning to support students’ problem-solving skills. JIIP(Scientific Journal of Education), 8, 2608–2615. https://doi.org/10.54371/jiip.v8i3.7224

Nisak, K., & Istiana, A. (2017). The effect of implementing problem-based learning on students’ mathematical problem-solving ability. JKPM (Journal of Mathematics Education Studies), 3(1), 91–98. https://doi.org/10.30998/jkpm.v3i1.2540

Nurkamilah, M., & Juandi, D. (2024). Integration opportunities of computational thinking in mathematics learning for geometric concept exploration: A systematic literature review. Naturalistic: Journal of Educational Review and Learning Research, 9(1), 461–470. https://doi.org/10.35568/naturalistic.v9i1.4851

Page, M. J., Moher, D., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-wilson, E., Mcdonald, S., … Mckenzie, J. E. (2021). PRISMA 2020 explanation and elaboration: Updated guidance and exemplars for reporting systematic reviews. BMJ, 372, n160. https://doi.org/10.1136/bmj.n160

Paristiowati, M. (2023). Integration of technology in problem-based learning to improve students' computational thinking: Implementation on polymer topics. International Journal of Social and Management Studies (IJOSMAS), 04(02), 65–73. https://doi.org/10.5555/ijosmas.v4i2.280

Portuna, I. S., Widiati, I., & Indriati, M. (2025). The effect of ethnomathematics-based problem-based learning (PBL) model on the numeracy skills of junior high school students. Axioma: Journal of Mathematics and Learning, 10(1). https://doi.org/10.56013/axi.v10i1.3691

Pramana, E., & Wijayanti, D. (2026). Computational thinking research trends in K-12 mathematics education: A literature review study. Journal of Research in Mathematics Education, 14(1), 69–78. https://doi.org/10.36709/jppm.v14i1.25

Rahmawati, L., Purnomo, E. A., & Mawarsari, V. D. (2025). Systematic literature review: Problem-based learning in improving mathematical problem-solving skills. Proximal: Journal of Mathematics Research and Mathematics Education, 8, 1048–1064. https://doi.org/10.30605/proximal.v8i4.7041

Rifa’i, R., Pratidiana, D., & Arifiyanti, S. D. (2019). The application of the problem-based learning model to improve students’ mathematical problem-solving ability. JKPM (Journal of Mathematics Education Studies), 5(1), 109–116. https://doi.org/10.309988/jkpm.v5i1.5179

Rimalita, R., Husna, N., & Mariyam, M. (2023). The influence of problem-based learning and problem-posing models on students’ mathematical problem-solving ability. JKPM (Journal of Mathematics Education Studies), 9(1), 139. https://doi.org/10.30998/jkpm.v9i1.20482

Septiani, A., Pujiastuti, H., & Faturrohman, M. (2022). Systematic literature review: Implementation of the problem-based learning (PBL) model to improve mathematical problem-solving skills. Edukatif: Journal of Educational Sciences, 4(6), 7882–7883.

Sholihah, T., Herlambang, A. D., & Wijoyo, S. H. (2025). The effect of GitHub and ChatGPT-assisted problem-based learning methods on student learning outcomes and computational thinking skills. Journal of Information Technology Development and Computer Science, 9(5), 1–8.

Sitorus, J., Sinaga, B., Handayani, L., Jenny, D., & Siagian, M. (2025). Influence of students’ learning style and personality characteristics on their mathematics problem-solving skills. Frontiers in Education. https://doi.org/10.3389/feduc.2025.1540865

Udin, M. R., Masturi, Z., & Walid, W. (2025). Systematic literature review: Students’ mathematical problem-solving skills in the problem-based learning (PBL) model with a STEM approach. Symmetry: Pasundan Journal of Research in Mathematics Learning and Education, 10(1), 21–30. https://doi.org/10.23969/symmetry.v10i1.27376

Vessonen, T., Dahlberg, M., Hellstrand, H., Widlund, A., Korhonen, J., Aunio, P., & Laine, A. (2024). Task characteristics associated with mathematical word problem solving performance among elementary school aged children: A systematic review and meta analysis. In Educational Psychology Review (Vol. 36, Number 4). Springer US. https://doi.org/10.1007/s10648-024-09954-2

Vessonen, T., Hellstrand, H., Kurkela, M., Aunio, P., & Laine, A. (2025). The effectiveness of mathematical word problem-solving interventions among elementary schoolers: A systematic review and meta-analysis. International Journal of Educational Research, 132, 102642. https://doi.org/10.1016/j.ijer.2025.102642

Widiyatmoko, A., & Wulandari, T. D. (2024). Computational thinking-based learning trends 2020-2024 and their potential in education. Proceedings of the National Seminar on Science Education XV, 612–623.

Wing, J. M. (2011). Computational thinking. Communications of the ACM, 54(3), 33–37. https://doi.org/10.1145/1924421.1924430

Yelvalinda, Pujiastuti, H., & Fatah, A. (2019). The effect of the problem-based learning model on mathematical understanding skills. Proceedings of the National Seminar and Call for Papers, 633–640.

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Published

2026-06-20

How to Cite

Nuraeni, S., Pujiastuti, H., & Khaerunnisa, E. (2026). Systematic Literature Review: Research Trend Analysis on Problem-Based Learning and Computational Thinking in Mathematics Learning. JKPM (Jurnal Kajian Pendidikan Matematika), 11(2), 179-190. https://doi.org/10.30998/0wn51w29