IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-658-03104-6_14.html
   My bibliography  Save this book chapter

Multiple representations as tools for discovering pattern and variability – Insights into the dynamics of learning processes

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

Author

Listed:
  • Susanne Schnell

    (TU Dortmund University, Institute for Development and Research in Mathematics Education)

  • Susanne Prediger

    (TU Dortmund University, Institute for Development and Research in Mathematics Education)

Abstract

Dealing with multiple representations is an important learning goal, but also a tool for fostering teaching and learning. It has mostly been explored for algebra and statistics. In this article, we explore how relating different representations can also be used as a tool to foster learning about phenomena of randomness, here concretely for discovering pattern and variability in the context of the empirical law of large numbers. Our case study shows that the process of connecting different representations is quite complex for students and does not establish itself, but helps to foster deep conceptual insights into the duality of pattern and variability.

Suggested Citation

  • Susanne Schnell & Susanne Prediger, 2014. "Multiple representations as tools for discovering pattern and variability – Insights into the dynamics of learning processes," 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 179-192, Springer.
    • Handle: RePEc:spr:sprchp:978-3-658-03104-6_14
    DOI: 10.1007/978-3-658-03104-6_14
    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_14. 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.