IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i14p3206-d1199393.html
   My bibliography  Save this article

Activities with BBC micro:bit as a Foundation for Statistical Reasoning of Lower-Secondary Students

Author

Listed:
  • Michal Fojtík

    (Department of Mathematics, Faculty of Natural Sciences and Informatics, Constantine the Philosopher University in Nitra, Tr. A. Hlinku 1, 949 01 Nitra, Slovakia)

  • Martin Cápay

    (Department of Informatics, Faculty of Natural Sciences and Informatics, Constantine the Philosopher University in Nitra, Tr. A. Hlinku 1, 949 01 Nitra, Slovakia)

  • Janka Medová

    (Department of Mathematics, Faculty of Natural Sciences and Informatics, Constantine the Philosopher University in Nitra, Tr. A. Hlinku 1, 949 01 Nitra, Slovakia)

  • Ľubomíra Valovičová

    (Department of Physics, Faculty of Natural Sciences and Informatics, Constantine the Philosopher University in Nitra, Tr. A. Hlinku 1, 949 01 Nitra, Slovakia)

Abstract

Computational thinking is considered a set of skills necessary for living and working in today’s society. It has recently become part of mathematics curricula in several European countries. In this study, we offer a glimpse into the informal classroom where statistical reasoning and computational thinking are developed simultaneously. The student–teacher discussion was analysed and categorised. The dialogue dealt with both statistical and computational thinking. Implying from the nature of the activity, sources of errors and variation in data were discussed and ways to overcome the errors were discussed. The discussions related to computational thinking mainly addressed the work with BBC micro:bit, whether with the manipulation and hardware of the coding. A variable was used from both perspectives, as a mathematical concept and as an entity used to store the information. We identified the notion of a variable as the intersection between statistics and computational thinking.

Suggested Citation

  • Michal Fojtík & Martin Cápay & Janka Medová & Ľubomíra Valovičová, 2023. "Activities with BBC micro:bit as a Foundation for Statistical Reasoning of Lower-Secondary Students," Mathematics, MDPI, vol. 11(14), pages 1-16, July.
  • Handle: RePEc:gam:jmathe:v:11:y:2023:i:14:p:3206-:d:1199393
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/14/3206/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/11/14/3206/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stefania Bocconi & Augusto Chioccariello & Giuliana Dettori & Anusca Ferrari & Katja Engelhardt, 2016. "Developing Computational Thinking in Compulsory Education - Implications for policy and practice," JRC Research Reports JRC104188, Joint Research Centre.
    2. Ľubomíra Valovičová & Ján Ondruška & Ľubomír Zelenický & Vlastimil Chytrý & Janka Medová, 2020. "Enhancing Computational Thinking through Interdisciplinary STEAM Activities Using Tablets," Mathematics, MDPI, vol. 8(12), pages 1-15, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yen-Cheng Chen & Pei-Ling Tsui & Ching-Sung Lee, 2021. "Is Mathematics Required for Cooking? An Interdisciplinary Approach to Integrating Computational Thinking in a Culinary and Restaurant Management Course," Mathematics, MDPI, vol. 9(18), pages 1-16, September.
    2. Lucía Hilario & Marta Covadonga Mora & Nicolás Montés & Pantaleón David Romero & Sara Barquero, 2022. "Gamification for Maths and Physics in University Degrees through a Transportation Challenge," Mathematics, MDPI, vol. 10(21), pages 1-20, November.
    3. World Bank, 2019. "Children Learning to Code," World Bank Publications - Reports 31528, The World Bank Group.
    4. Gregor Milicic & Sina Wetzel & Matthias Ludwig, 2020. "Generic Tasks for Algorithms," Future Internet, MDPI, vol. 12(9), pages 1-16, September.
    5. Ramón García-Perales & Ascensión Palomares-Ruiz, 2020. "Education in Programming and Mathematical Learning: Functionality of a Programming Language in Educational Processes," Sustainability, MDPI, vol. 12(23), pages 1-15, December.
    6. Margarida Rodrigues & Federico Biagi, 2017. "Digital technologies and learning outcomes of students from low socio-economic background: An Analysis of PISA 2015," JRC Research Reports JRC106999, Joint Research Centre.
    7. Ľubomíra Valovičová & Ján Ondruška & Ľubomír Zelenický & Vlastimil Chytrý & Janka Medová, 2020. "Enhancing Computational Thinking through Interdisciplinary STEAM Activities Using Tablets," Mathematics, MDPI, vol. 8(12), pages 1-15, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:11:y:2023:i:14:p:3206-:d:1199393. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.