Review and Trend Analysis of Computational Thinking Research in Mathematics Education (2013-2023)

Authors

  • Yuni Fitriyah Universitas Pendidikan Indonesia
  • Jarnawi Afgani Dahlan Universitas Pendidikan Indonesia
  • Wahyudin Wahyudin Universitas Pendidikan Indonesia

DOI:

https://doi.org/10.29407/jmen.v10i2.22039

Keywords:

Computational Thinking, Mathematics Education, Review, Trend Analysis

Abstract

This research aims to examine the development of computational thinking research publications in mathematics education (ME) from 2013 to 2023 and explore information networks based on keywords and author collaborations. The methodology used in this research is descriptive bibliometric analysis. Data collection was carried out using the Scopus database with the keywords 'computational thinking' and 'mathematics education'. Data was collected via the Publish or Perish application, 99 publications were obtained for analysis using VOSviewer. Bibliometric mapping results reveal that CT in ME remains a continuously observed and evolving topic, with significant increases over the past 11 years. The most dominant country in this field of research is the United States. Bibliometric mapping identified collaborations between authors from various countries, with Chee-Kit Looi recognized as the most influential contributor. Mapping based on the occurrence of keywords identifies relationships between scientific concepts, forming several dominant groups. Keywords that appear limited include CT in teacher aspects through teaching practices, learning approaches, and assessment. Research on this topic is relatively scarce with respect to STEM education, providing opportunities for future research and broader development in this area.

References

Baraibar-Diez, E., Luna, M., Odriozola, M. D., & Llorente, I. (2020). Mapping social impact: A bibliometric analysis. Sustainability, 12(22), 9389. https://doi.org/10.3390/su12229389

Boyack, K. W., & Klavans, R. (2010). Co‐citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately?. Journal of the American Society for information Science and Technology, 61(12), 2389-2404. https://doi.org/10.1002/asi.21419

Brown, T., & Sedgewick, R. (2012). Algorithmic thinking in mathematics education. ACM Inroads, 3(3), 74-78. https://doi.org/10.1145/2184512.2184529

Buckley, S. (2012, October). The role of computational thinking and critical thinking in problem solving in a learning environment. In European Conference on e-Learning (pp. 63-70). Academic Conferences International Limited. https://doi.org/10.1109/BSN.2012.6

Ellegaard, O., & Wallin, J. A. (2015). The bibliometric analysis of scholarly production: How great is the impact?. Scientometrics, 105, 1809-1831. https://doi.org/10.1007/s11192-015-1645-z

Fitriyah, Y., & Dahlan, J. A. (2023). Wahyudin (2023). Teaching Computational Thinking in Mathematics Education: A Systematic Literature Review. In Proceedings of International Conference on Studies in Engineering, Science, and Technology (pp. 51-67). Diakses melalui https://www.researchgate.net/profile/Istes-Publication/publication/378706664_Proceedings_of_International_Conference_on_Studies_in_Engineering_Science_and_Technology_2023/links/65e5fcffe7670d36abfd1258/Proceedings-of-International-Conference-on-Studies-in-Engineering-Science-and-Technology-2023.pdf#page=58

Fraley, C., & Raftery, A. E. (2002). Model-based clustering, discriminant analysis, and density estimation. Journal of the American statistical Association, 97(458), 611-631. https://doi.org/10.1198/016214502760047131

Glänzel, W., & Moed, H. F. (2002). Journal impact measures in bibliometric research. Scientometrics, 53(2), 171-193. https://doi.org/10.1023/A:1014852519893

Grover, S., & Pea, R. (2013). Computational thinking in K–12: A review of the state of the field. Educational Researcher, 42(1), 38-43. https://doi.org/10.3102/0013189X12463051

Jones, D., Smith, J., & Brown, K. (2017). Integrating Computational Thinking in Mathematics Education: A Case Study. Journal of Educational Technology, 40(3), 213-227. https://doi.org/10.1007/s11423-017-9525-9

Konur, O. (2012). The evaluation of the global research on the education: a scientometric approach. Procedia-Social and Behavioral Sciences, 47, 1363-1367. https://doi.org/10.1016/j.sbspro.2012.06.830

Kurniawati, E., & Wahyuni, E. S. (2023). Pemetaan Sistematis Topik Nature Of Science Berdasarkan Analisis Bibliometrik Menggunakan VOSViewer: Pemetaan Sistematis Topik Nature Of Science Berdasarkan Analisis Bibliometrik Menggunakan VOSViewer. Diklabio: Jurnal Pendidikan dan Pembelajaran Biologi, 38-48. https://doi.org/10.33369/diklabio.7.1.38-48

Ling, U. L., Saibin, T. C., Naharu, N., Labadin, J., & Aziz, N. A. (2018). An evaluation tool to measure computational thinking skills: pilot investigation. National Academy of Managerial Staff of Culture and Arts Herald, 1, 606-614.

Merigó, J. M., Pedrycz, W., Weber, R., & de la Sotta, C. (2018). Fifty years of Information Sciences: A bibliometric overview. Information Sciences, 432, 245-268. https://doi.org/10.1016/j.ins.2017.11.054

Mannila, L., Dagiene, V., Demo, B., Grgurina, N., Mirolo, C., Rolandsson, L., & Settle, A. (2014, June). Computational thinking in K-9 education. In Proceedings of the working group reports of the 2014 on innovation & technology in computer science education conference (pp. 1-29). https://doi.org/10.1145/2713609.2713610

Marifah, S. N., Mu’iz L., D. A., Wahid M., M. R. (2022). Systematic Literatur Review: Integrasi Conputational Thinking dalam Kurikulum Sekolah Dasar di Indonesia. COLLASE (Creative of Learning Students Elementary Education), 5(5), 928-938. https://doi.org/10.22460/collase.v5i5.12148

Mauliani, A. (2020). Peran Penting Computational Thinking terhadap Masa Depan Bangsa Indonesia. Jurnal Informatika dan Bisnis, 9(2). Retrieved from http://jurnal.kwikkiangie.ac.id/index.php/JIB/article/view/694

National Council of Teachers of Mathematics (NCTM). (2020). Catalyzing change in high school mathematics: initiating critical conversations. Reston, VA: Author.

Putri, V., Syahmani, S., & Prasetyo, Y. D. (2023). Bibliometric Study of Articles on Computational Thinking in Learning. Journal of Mathematics Science and Computer Education, 3(1), 1-11. https://doi.org/10.20527/jmscedu.v3i1.6672

Resnick, M., Maloney, J., Monroy-Hernández, A., Rusk, N., Eastmond, E., Brennan, K., ... & Kafai, Y. (2009). Scratch: programming for all. Communications of the ACM, 52(11), 60-67. https://doi.org/10.1145/1592761.1592779

Sarkis-Onofre, R., Catalá-López, F., Aromataris, E., & Lockwood, C. (2021). How to properly use the PRISMA Statement. Systematic Reviews, 10, 1-3. https://doi.org/10.1186/s13643-021-01671-z

Schmidt-Crawford, D. A., Lindstrom, D., & Thompson, A. D. (2018). Coding for Teacher Education: A Recurring Theme That Requires Our Attention. Journal of digital learning in teacher education, 34(4), 198-200. https://doi.org/10.1080/21532974.2018.1518846

Sentance, S., & Csizmadia, A. (2017). Computing education in the UK: A review of the landscape. ACM Transactions on Computing Education (TOCE), 17(2), 7. https://doi.org/10.1145/3017680

Sheppard, K. (2012). Introduction to Python for econometrics, statistics and data analysis. Self-published, University of Oxford, version, 2. Retrieved from https://www.kevinsheppard.com/files/teaching/python/notes/python_introduction_2019.pdf

Shute, V. J., Sun, C., & Asbell-Clarke, J. (2017). Demystifying computational thinking. Educational research review, 22, 142-158. https://doi.org/10.1016/j.edurev.2017.09.003

Subramaniam, S., Mahmud, M. S. & Maat, S. S. (2022). Computational thinking in mathematics education: A systematic review. Cypriot Journal of Educational Sciences 17(6). 2029-2044. https://doi.org/10.18844/cjes.v17i6.7494

Tekdal, M. (2021). Trends and development in research on computational thinking. Education and Information Technologies, 26(5), 6499-6529. https://doi.org/10.1007/s10639-021-10617-w

Van Eck, N., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. scientometrics, 84(2), 523-538. https://doi.org/10.1007/s11192-009-0146-3

Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33-35. https://doi.org/10.1145/1118178.1118215

Downloads

PlumX Metrics

Published

2024-11-30

How to Cite

Fitriyah, Y. ., Dahlan, J. A. ., & Wahyudin, W. (2024). Review and Trend Analysis of Computational Thinking Research in Mathematics Education (2013-2023). Jurnal Math Educator Nusantara: Wahana Publikasi Karya Tulis Ilmiah Di Bidang Pendidikan Matematika, 10(2), 381–394. https://doi.org/10.29407/jmen.v10i2.22039