IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v8y2020i11p2034-d445234.html
   My bibliography  Save this article

Mathematical Modeling Projects Oriented towards Social Impact as Generators of Learning Opportunities: A Case Study

Author

Listed:
  • Lluís Albarracín

    (Departament de Didàctica de les Ciències Experimentals i la Matemàtica, Universitat Autònoma de Barcelona, 08193 Bellaterra (Barcelona), Spain)

  • Núria Gorgorió

    (Departament de Didàctica de les Ciències Experimentals i la Matemàtica, Universitat Autònoma de Barcelona, 08193 Bellaterra (Barcelona), Spain)

Abstract

This paper presents a case study carried out at an elementary school that led to a characterization of mathematical modeling projects aimed at generating social impact. It shows their potential as generators of mathematical learning opportunities. In the school project, upper-grade students (sixth grade, 11-year-olds) studied the way in which the rest of the students at the institution traveled from their homes to school. Its purpose was to identify risk points from the standpoint of road safety and to develop a set of recommendations so that all the children could walk safely to school. In our study, we identified, on the one hand, the mathematical learning opportunities that emerged during the development of the project and, on the other, the mathematical models created by the students. We discuss the impact of the project on the different groups in the school community (other students, parents, and teachers). We conclude with a characterization of the mathematical modeling projects oriented towards social impact and affirm that they can be generators of mathematical learning opportunities.

Suggested Citation

  • Lluís Albarracín & Núria Gorgorió, 2020. "Mathematical Modeling Projects Oriented towards Social Impact as Generators of Learning Opportunities: A Case Study," Mathematics, MDPI, vol. 8(11), pages 1-20, November.
    • Handle: RePEc:gam:jmathe:v:8:y:2020:i:11:p:2034-:d:445234
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/8/11/2034/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/8/11/2034/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:gam:jmathe:v:8:y:2020:i:11:p:2034-:d:445234. 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: 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.