Abstract

As we move further into the digital age, the acquisition of digital literacy (DL) and computational thinking (CT) skills is emerging internationally as an essential goal for students in contemporary school curricula. As the world becomes more uncertain and volatile due to impacts of artificial intelligence (AI), international unrest, climate change, global economic instability and unforeseen catastrophes such as the Coronavirus (Covid-19) pandemic, it is necessary to review, revise and refine school education curricula and policies. The issue of what is essential for students to learn, and how they learn it, is of growing importance to international organisations such as the Organisation for Economic Co-operation and Development (OECD) and the United Nations Educational, Scientific and Cultural Organisation (UNESCO) and is emerging as a significant driver for educational reform across the globe. The growing prominence of CT and DL skills across many industry sectors has prompted recent changes to international assessment frameworks such as the Programme for International Student Assessment (PISA) and the Trends in International Mathematics and Science Study (TIMSS). This paper will briefly discuss specific examples of alternative approaches to addressing CT in national curricula for the compulsory years of schooling and explain how CT has been adopted as a driver for mathematics curriculum change in Australia. 

Keywords

References

• Ang, K. C. (2021). Computational thinking and mathematical modelling in F. K. S. Leung, G. A. Stillman, G. Kaiser & K. L. Wong (Eds.), Mathematical modelling education in East and West (pp. 19-34). Springer. https://doi.org/10.1007/978-3-030-66996-6_2
• Australian Curriculum, Assessment, and Reporting Authority (ACARA). (2022a). Australian Curriculum Version 9.0. Retrieved from https://v9.australiancurriculum.edu.au/
• Australian Curriculum, Assessment, and Reporting Authority (ACARA). (2022b). Australian Curriculum Mathematics F-10 version 9.0. Retrieved from https://v9.australiancurriculum.edu.au/
• Australian Curriculum, Assessment, and Reporting Authority (ACARA). (2022c). Revisions to the Australian Curriculum: Mathematics. Retrieved from https://v9.australiancurriculum.edu.au/resources/stories/revisions-to-the-australian-curriculum-mathematics
• Australian Curriculum, Assessment, and Reporting Authority (ACARA). (2022d). Digital Literacy in the new Australian Curriculum. Retrieved from https://v9.australiancurriculum.edu.au/resources/stories/digital-literacy-in-the-new-australian-curriculum
• Australian Curriculum, Assessment, and Reporting Authority (ACARA). (2020a). The shape of the Australian curriculum: version 5.0. Retrieved from https://www.acara.edu.au/docs/default-source/curriculum/the_shape_of_the_australian_curriculum_version5_for-website.pdf
• Australian Curriculum, Assessment, and Reporting Authority (ACARA). (2020b). Curriculum review process paper: Version 1.0. Retrieved from https://www.acara.edu.au/docs/default-source/curriculum/curriculum-review-process-paper-31-august-2020.pdf
• Australian Curriculum, Assessment, and Reporting Authority (ACARA). (2019a). Terms of reference: Review of the Australian curriculum F-10. Retrieved from https://www.acara.edu.au/docs/default-source/curriculum/ac-review_terms-of-reference_website.pdf
• Australian Curriculum, Assessment, and Reporting Authority (ACARA). (2019b). Program of research: Key findings from four international comparative studies. Retrieved from https://www.australiancurriculum.edu.au/media/4394/ac-bcc-fncc-sc-nzc-key-findings.pdf
• Australian Curriculum, Assessment, and Reporting Authority (ACARA). (2016). Australian Curriculum F-10. Retrieved from https://www.australiancurriculum.edu.au/f-10-curriculum/
• Bell, F. (2011). Connectivism: its place in theory-informed research and innovation in technology-enabled learning. The International Review in Research of Open and Distance Learning, 12(3), 98-118. https://doi.org/10.19173/irrodl.v12i3.902
• Bers, M., Strawhacker, A., & Sullivan, A. (2022). The state of the field of computational thinking in early childhood education, OECD Education Working Papers, No. 274, OECD Publishing. https://dx.doi.org/10.1787/3354387a-en
• Bialik, M., Zbarsky, E., Cardone, T., & Fadel, C. (2021). Mathematics for the modern world: Standards for a mathematically literate society. Center for Curriculum Redesign. Retrieved from https://curriculumredesign.org/modern-mathematics/
• Bocconi, S., Chioccariello, A., Kampylis, P., Dagienė, V., Wastiau, P., Engelhardt, K., ... & Stupurienė, G. (2022). Reviewing computational thinking in compulsory education: State of play and practices from computing education. EU. https://doi.org/10.2760/126955
• Bocconi, S., Chioccariello, A., Dettori, G., Ferrari, A., & Engelhardt, K. (2016). Developing computational thinking in compulsory education: Implications for policy and practice. EUR 28295, EU. https://data.europa.eu/doi/10.2791/792158
• Curran, J., Schulz, K., & Hogan, A. (2019). Coding and computational thinking: What is the evidence. NSW Education Department. Retrieved from https://education.nsw.gov.au/content/dam/main-education/teaching-and-learning/education-for-a-changing-world/media/documents/Coding-and-Computational-Report_A.pdf
• Department for Education. (2013). The national curriculum in England: Key stages 1 and 2 framework document. Retrieved from https://www.gov.uk/national-curriculum
• Duffy, T. M., & Jonassen, D. H. (2013). Constructivism and the technology of instruction: A conversation. Routledge https://doi.org/10.4324/9780203461976
• Fadel, C., Bailik, M., & Trilling, B. (2015). Four-Dimensional Education: The competencies learners need to succeed. Center of Curriculum Redesign. Retrieved from https://curriculumredesign.org/our-work/four-dimensional-21st-century-education-learning-competencies-future-2030/
• Gadanidis, G. (2016). Artificial intelligence, computational intelligence, and mathematics education. The International Journal of Information and Learning Technology, 34(2), 133-139. https://doi.org/10.1108/IJILT-09-2016-0048
• International Mathematical Modelling Challenge. (2022). Problems and results. Consortium for Mathematics and its Applications (COMAP). Retrieved from https://www.immchallenge.org/Contests/index.html
• Jameson, E., Whitney-Smith, R., Macey, D., Morony, W., Benson-Lidholm, A., McClure, L., & Leigh-Lancaster, D (2021). Curriculum development and the use of a digital framework for collaborative design to inform discourse: A case study. In Y. H. Leong, B. Kaur, B. H. Choy, J. B. W. Yeo, & S. L. Chin (Eds.), Excellence in Mathematics Education: Foundations and Pathways (Proceedings of the 43rd annual conference of the Mathematics Education Research Group of Australasia) (pp. 235-242). MERGA.
• Jameson, E., & Lai, R. (2019). A case study report: Designing a framework for computational thinking with Arm. Cambridge Mathematics. Retrieved from https://www.cambridgemaths.org/Images/designing-a-framework-for-computational-thinking-with-arm.pdf
• Jaing, B., Zhao, W., Gu, X., & Yin, C. (2021). Understanding the relationship between computational thinking and computational participation: A case study from scratch online community. Educational Technology Research and Development, 69(5), 2399-2421. https://doi.org/10.1007/s11423-021-10021-8
• 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, 23(2), 159-187. https://doi.org/10.1080/14794802.2020.1852104
• Lai, R. (2019). Computational thinking in the classroom. Expresso, 19. Cambridge Mathematics. Retrieved from https://www.cambridgemaths.org/espresso/view/computational-thinking-in-the-classroom/
• Lockwood, E., DeJarnette, A. F., Asay, A. & Thomas, M. (2016). Algorithmic thinking: an initial characterization of computational thinking in mathematics. In M. B. Wood, E. Turner, M. Civil, and J. A. Eli (Eds.), Proceedings of the 38th annual meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education (pp. 1588-1595). The University of Arizona. https://files.eric.ed.gov/fulltext/ED583797.pdf
• Mahajan, S., Marciniak, Z., Schmidt, B., & Fadel, C. (2016). PISA mathematics in 2021: An analysis of the Center of Curriculum Redesign (CCR). Retrieved from https://curriculumredesign.org/wp-content/uploads/Recommendations-for-PISA-Maths-2021-FINAL-EXTENDED-VERSION-WITH-EXAMPLES-CCR.pdf
• McClure, L., & Lai, R. (2019). Mapping computational thinking using the Cambridge Mathematics Framework [CIDREE STREAM expert meeting]. Computational thinking and mathematical thinking: digital literacy in mathematics curricula, Utrecht, The Netherlands.
• Ministry of Education (2018). The New Zealand Curriculum Learning. Media Ltd. Retrieved from https://nzcurriculum.tki.org.nz/The-New-Zealand-Curriculum
• Mullis, V., Martin, M., & von Davier, M. (Eds.). (2021). TIMSS 2023 Assessment Frameworks. International Association for the Evaluation of Educational Achievement (IEA). Retrieved from https://timssandpirls.bc.edu/timss2023/frameworks/pdf/T23_Frameworks.pdf
• Nordby, S. K., Bjerke, A. H., & Mifsud, L. (2022). Computational thinking in the primary mathematics classroom: A systematic review. Digital Experiences in Mathematics Education, 8(1), 27-49. https://doi.org/10.1007/s40751-022-00102-5
• Organisation for Economic Co-operation and Development. (2021). The state of school education: One year into the COVID pandemic. OECD Publishing. https://doi.org/10.1787/201dde84-en
• Organisation for Economic Co-operation and Development. (2020). What Students Learn Matters: Towards a 21st Century Curriculum. OECD Publishing. https://doi.org/10.1787/d86d4d9a-en
• Organisation for Economic Cooperation and Development (2018a). The future of education and skills education 2030: The future we want. OECD Publishing. Retrieved from https://www.oecd.org/education/2030/E2030%20Position%20Paper%20(05.04.2018).pdf
• Organisation for Economic Co-operation and Development. (2018b). PISA 2021 Mathematics Framework. OECD Publishing. Retrieved from https://www.oecd.org/pisa/sitedocument/PISA-2021-mathematics-framework.pdf
• Resnick, M., & Rusk, N. (2020). Coding at a crossroads. Communication of the ACM, 63(11), 120-127. https://doi.org/10.1145/3375546
• Rycroft-Smith, L. & Connolly, C. (2019). Comparing conceptions of mathematical and computational thinking cycles. Expresso, 24. Cambridge Mathematics. Retrieved from https://www.cambridgemaths.org/espresso/view/mathematical-and-computational-thinking/
• Schmidt, W., Houang, R., Sullivan, W., & Cogan, L. (2022). When practice meets policy in mathematics education: A 19 country/jurisdiction case study. OECD Publishing. https://doi.org/10.1787/07d0eb7d-en
• Seow, P., Looi, C., How, M., Wadhwa, B., & Wu, L. (2019). Education policy and implementation of computational thinking and programming: Case study of Singapore. In S. C. Kong and H. Abelson (Eds.), Computational thinking education (pp. 345-361). https://doi.org/10.1007/978-981-13-6528-7_19
• Stephens, M. (2018). Embedding algorithmic thinking more clearly in the mathematics curriculum. In Y. Shimizu, & R. Vithal (Eds.), ICMI Study 24 School mathematics curriculum reforms: Challenges, changes and opportunities (pp. 483-490). https://www.mathunion.org/fileadmin/ICMI/ICMI%20studies/ICMI%20Study%2024/ICMI%20Study%2024%20Proceedings.pdf
• Swedish National Agency for Education’s Organization. (Skolverket). (2018). Curriculum for the compulsory school, preschool class and school-age educare. Retrieved from https://www.skolverket.se/andra-sprak-other-languages/english-engelska
• Thomson, S., Wernert, N., Buckley, S., Rodrigues, S., O'Grady, E., & Schmid, M. (2021). TIMSS 2019 Australia. Volume II: School and classroom contexts for learning. Australian Council for Educational Research. https://doi.org/10.37517/978-1-74286-615-4
• Thomson, S., Wernert, N., Rodrigues, S., & O'Grady, E. (2020). TIMSS 2019 Australia. Volume I: Student performance. Australian Council for Educational Research. https://doi.org/10.37517/978-1-74286-614-7
• Thomson, S., De Bortoli, L., Underwood, C., & Schmid, M. (2019). PISA 2018: Reporting Australia’s Results. Volume I Student Performance. Australian Council for Educational Research (ACER). Retrieved from https://research.acer.edu.au/ozpisa/35
• United Nations Educational, Scientific and Cultural Organisation. (2021). Education for sustainable development for 2030 Toolbox. UNESCO. Retrieved from https://en.unesco.org/themes/education-sustainable-development/toolbox
• van Borkulo, S., Chytas, C., Drijvers, P., Barendsen, E., & Tolboom, J. (2021, October). Computational thinking in the mathematics classroom: fostering algorithmic thinking and generalization skills using dynamic mathematics software. In The 16th Workshop in Primary and Secondary Computing Education (pp. 1-9). USA. https://doi.org/10.1145/3481312.3481319
• Voogt, J., Fisser, P., Good, J., Mishra, P., & Yadav, A. (2015). Computational thinking in compulsory education: Towards an agenda for research and practice. Education and Information Technologies, 20, 715-728. https://doi.org/10.1007/s10639-015-9412-6
• Weintrop, D., Beheshti, E., Horn, M., Orton, K., Jona, K., Trouille, L., & Wilensky, U. (2016). Defining computational thinking for mathematics and science classrooms. Journal of Science Education and Technology, 25, 127-147. https://doi.org/10.1007/s10956-015-9581-5.
• Wing, J. (2017). A conversation about computational thinking. NSW Department of Education. Retrieved from https://education.nsw.gov.au/teaching-and-learning/education-for-a-changing-world/resource-library/a-conversation-about-computational-thinking
• Wing, J. (2006). Computational thinking. Communications of the ACM, 49(3), 33-35. https://doi.org/10.1145/1118178.1118215.
• Wolfram, C. (2020). The Maths Fix: An education blueprint for the AI age. Wolfram Media Inc.
• Wu, W., & Yang, K. (2022). The relationship between computational thinking and mathematical thinking: A review study on tasks. Cogent Education, 9(1), 2098929. https://doi.org/10.1080/2331186X.2022.2098929
• Yadav, A., Stephenson, C., & Hong, H. (2017). Computational thinking for teacher education. Communications of the ACM, 60(4), 55-62. https://doi.org/10.1145/2994591
• Zimmerman, B. J. (2000). Attaining self-regulation: A social cognitive perspective. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 13-39). Academic Press. https://doi.org/10.1016/B978-012109890-2/50031-7

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