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Empirical Findings on Modelling in Mathematics Education

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Mathematical Modelling for Teachers

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Abstract

It would make life much easier for us, as mathematics teachers, if we knew in advance of trying something new, such as reality-based mathematics, that it would work out and result in increases in student motivation, understanding, and/or enjoyment of school mathematics. However, it is understood that forecasts of this nature are uncertain because the predicted events or outcomes lie in the future. Consequently, neither we nor anybody else can assure you that your first attempt, or subsequent lessons, will be a success. However, we do believe we can help improve your lessons and that is what this book is all about.

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Notes

  1. 1.

    The website is no longer active because Professor Schukajlow has moved from Kassel University to Munster University.

References

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  • Schukajlow, S., Leiss, D., Pekrun, R., Blum, W., Müller, M., & Messner, R. (2012). Teaching methods for modelling problems and students’ task-specific enjoyment, value, interest and self-efficacy expectations. Educational Studies in Mathematics, 79(2), 215–237.

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Correspondence to Jürgen Maaß .

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Maaß, J., O’Meara, N., Johnson, P., O’Donoghue, J. (2018). Empirical Findings on Modelling in Mathematics Education. In: Mathematical Modelling for Teachers. Springer Texts in Education. Springer, Cham. https://doi.org/10.1007/978-3-030-00431-6_8

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  • DOI: https://doi.org/10.1007/978-3-030-00431-6_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00430-9

  • Online ISBN: 978-3-030-00431-6

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