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On the integration of learning mathematics and programming
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). Holon Institute of Technology, Israel.ORCID iD: 0000-0002-6225-6365
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). National and Kapodistrian University of Athens, Greece.ORCID iD: 0000-0002-6937-345X
2020 (English)In: Proceedings of International Conference on Computational Thinking Education, The Education University of Hong Kong , 2020, p. 53-56Conference paper, Published paper (Refereed)
Abstract [en]

In the field of education, there has been recent attention and call for transdisciplinary approaches related to learning mathematics and programming in schools. Despite the advent of theory and tools for such an approach, there is still a lack of a common ground and implicitness in the understanding of what exactly this would entail amongst teachers and curriculum designers. In this paper, we present a theoretical discussion in the light of our ongoing efforts to develop a more elaborated and precise language representing educational and epistemological values for integrating mathematics and programming. Accordingly, we provide an overview of our previous research efforts in this field followed by an elaborated example describing our approach. We conclude with a discussion addressing the pedagogical potential of our proposed ideas compared to the previous ones. © 2020, The Education University of Hong Kong. All rights reserved.

Place, publisher, year, edition, pages
The Education University of Hong Kong , 2020. p. 53-56
Series
Proceedings of International Conference on Computational Thinking Education, ISSN 2664-5661
Keywords [en]
Computational thinking, Constructionism, Mathematics, Programming, Subject matter integration
National Category
Computer Sciences
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-103027Scopus ID: 2-s2.0-85103823030OAI: oai:DiVA.org:lnu-103027DiVA, id: diva2:1553245
Conference
4th International Conference on Computational Thinking Education, CTE 2020, Hong Kong, August 19-21, 2020
Available from: 2021-05-07 Created: 2021-05-07 Last updated: 2021-05-07Bibliographically approved

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Kohen-Vacs, DanMilrad, Marcelo

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf