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A Classroom Activity to Work with Real Data and Diverse Strategies in Order to Build Models with the Help of the Computer

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Mathematics and Technology

Part of the book series: Advances in Mathematics Education ((AME))

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Abstract

Dealing with pseudo-mechanistic models, which are continuous and empirical models where the parameters involved have a meaning according to the context where they are applied, has an added value. The aim of this study was to design a set of tasks to be performed with the help of the computer and implement them in the classroom in order to investigate a real data set with empirical models and pseudo-mechanistic models. A framework showing different strategies to tackle these data, and how they generate a variety of plausible responses to the problem, was configured. The sequence and structure of these tasks jointly with the help of appropriate computer resources, according to the students’ perceptions, enhanced the understanding of the construction and use of these models.

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Notes

  1. 1.

    http://cran.r-project.org/web/packages/nlsMicrobio/nlsMicrobio.pdf

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Acknowledgments

I am very grateful to Dr Monica Blanco for several and interesting remarks and suggestions. The author thanks the two anonymous reviewers their valuable comments.

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Authors and Affiliations

  1. Department of Mathematics, Universitat Politècnica de Catalunya, Barcelona, Spain

    Marta Ginovart

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  1. Marta Ginovart
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Correspondence to Marta Ginovart .

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Editors and Affiliations

  1. Laboratoire de recherche : S2HEP, EducTice - InstitutFrançais de l’Éducation - École Normale Supérieure de Lyon, Lyon, France

    Gilles Aldon

  2. Département de mathématiques (GROUTEAM), Université du Québec à Montréal, Montréal, Québec, Canada

    Fernando Hitt

  3. Dipartimento di Matematica, Università degli Studi di Torino, Torino, Italy

    Luciana Bazzini

  4. Fachbereich Erziehungswissenschaft und Psychologie, Freie Universität Berlin, Berlin, Germany

    Uwe Gellert

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Ginovart, M. (2017). A Classroom Activity to Work with Real Data and Diverse Strategies in Order to Build Models with the Help of the Computer. In: Aldon, G., Hitt, F., Bazzini, L., Gellert, U. (eds) Mathematics and Technology. Advances in Mathematics Education. Springer, Cham. https://doi.org/10.1007/978-3-319-51380-5_20

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  • DOI: https://doi.org/10.1007/978-3-319-51380-5_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-51378-2

  • Online ISBN: 978-3-319-51380-5

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