IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-658-03104-6_17.html
   My bibliography  Save this book chapter

The epistemological character of visual semiotic means used in elementary stochastics learning

In: Mit Werkzeugen Mathematik und Stochastik lernen – Using Tools for Learning Mathematics and Statistics

Author

Listed:
  • Judith Stanja

    (Universität Duisburg-Essen, Fakultät für Mathematik)

  • Heinz Steinbring

    (Universität Duisburg-Essen, Fakultät für Mathematik)

Abstract

The paper has a theoretical focus and outlines the epistemological character of visual semiotic means used in elementary stochastics learning. The role of these semiotic means as knowledge-oriented tools will be discussed with respect to Exploratory Data Analysis (EDA) and its contribution to the construction of new knowledge. One particular characteristic of the visual semiotic means used in primary school is their reliance on gestures and language as we will illustrate with a few examples taken from a qualitative empirical study with 3rd graders.

Suggested Citation

  • Judith Stanja & Heinz Steinbring, 2014. "The epistemological character of visual semiotic means used in elementary stochastics learning," Springer Books, in: Thomas Wassong & Daniel Frischemeier & Pascal R. Fischer & Reinhard Hochmuth & Peter Bender (ed.), Mit Werkzeugen Mathematik und Stochastik lernen – Using Tools for Learning Mathematics and Statistics, edition 127, chapter 0, pages 223-235, Springer.
    • Handle: RePEc:spr:sprchp:978-3-658-03104-6_17
    DOI: 10.1007/978-3-658-03104-6_17
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    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:spr:sprchp:978-3-658-03104-6_17. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.