Computational thinking and mathematical thinking of high school students through discrete optimization problems
Abstract
Tóm tắt
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
References
ACARA. (2022). Computer thinking in practice. https://www.australiancurriculum.edu.au (10 February 2023)
Bell, T., Witten, I. H., & Fellows, M. (1998). Computer science unplugged: Off-line activities and games for all ages. Computer Science Unplugged.
Bocconi, S., Chioccariello, A., Dettori, G., Ferrari, A., & Engelhardt, K. (2016). Developing computational thinking in compulsory education – Implications for policy and practice. JRC Science for Policy Report. https://doi.org/10.2791/792158
Bocconi, S., Chioccariello, A., Kampylis, P., Dagienė, V., Wastiau, P., Engelhardt, K., Earp, J., Horvath, M. A., Jasutė, E., Malagoli, C., Masiulionytė-Dagienė, V., & Stupurienė, G. (2022). Reviewing computational thinking in compulsory education. Publications Office of the European Union. ISBN 978-92-76-47208-7. DOI:10.2760/126955, JRC128347.
Henderson, P. B., Baldwin, D., Dasigi, V., Dupras, M., Ginat, D., Goelman, D., Hamer, J., Hitchner, L., Lloyd, W., Marion, B., Riedesel, C., & Walker, H. (2001). Striving for mathematical thinking. ACM SIGCSE Bulletin, 33(4), 114–124. DOI: 10.1145/572139.572180.
Kallia, M., van Borkulo, S., Drijvers, P., Barendsen, E., & Tolboom, J. (2021). Characterising computational thinking in mathematics education: A literature-informed Delphi study. Research in Mathematics Education. 10.1080/14794802.2020.1852104.
Kotsopoulos, D., Floyd, L., Khan, S., Namukasa, I. K., Somanath, S., Weber, J., & Yiu, C. (2017). A pedagogical framework for computational thinking. Digital Experiences in Mathematics Education, 3(2), 154–171.
Kynigos, C., & Grizioti, M. (2018). Programming approaches to computational thinking: Integrating turtle geometry, dynamic manipulation and 3D space. Informatics in Education, 17(2), 321–340. DOI: 10.15388/infedu.2018.17
Lockwood, E., & De Chenne, A. (2020). Enriching students’ combinatorial reasoning through the use of loops and conditional statements in Python. International Journal of Research in Undergraduate Mathematics Education, 6. 10.1007/s40753-019-00108-2.
Organisation for Economic Cooperation and Development (OECD). (2018). PISA 2021 mathematics framework (draft). Paris: The author. https://www.oecd.org/pisa/sitedocument/PISA-2021-mathematics-framework.pdf
Papert, S. (1980). Mindstorms: Children, computers, and powerful ideas. Basic Books.
Rambally, G. (2016). The synergism of mathematical thinking and computational thinking. In D. Polly (Ed.), Cases on technology integration in mathematics education (pp. 416–437). Business Science Reference.
Shute, V., Sun, C., & Asbell-Clarke, J. (2017). Demystifying computational thinking. Educational Research Review, 22, 142–158. DOI: 10.1016/j.edurev.2017.09.003.
Tran, K. M., & Nguyen Thirteenth, N. T. (2023). Developing computational thinking: An unplugged problem-solving approach. Congress of the European Society for Research in Mathematics Education (CERME13) (pp. 3063–3070). Alfréd Rényi Institute of Mathematics; Eötvös Loránd University of Budapest, Budapest, Hungary. hal-04420633.
Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3).
Wing, J. (2014). Computational thinking benefits society. 40th Anniversary Blog of Social Issues in Computing.
Whitney-Smith, R. M. (2023). The emergence of computational thinking in national mathematics curricula: An Australian example. Journal of Pedagogical Research, 7(2), 41–55.
Wu, W. R., & Yang, K. L. (2022). The relationships between computational and mathematical thinking: A review study on tasks. Cogent Education, 9(1), 2098929.