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.
The website is no longer active because Professor Schukajlow has moved from Kassel University to Munster University.
References
Blum, W., & Borromeo Ferri, R. (2009). Mathematical modelling: Can it be taught and learnt? Journal of Mathematical Modelling and Application, 1(1), 45–58.
Consortium for Mathematics and its Applications (COMAP) & Society for Industrial and Applied Mathematics (SIAM). (2016). Guidelines for Assessment and Instruction in Mathematical Modeling Education (GAIMME). Retrieved November 28, 2017, from http://www.siam.org/reports/gaimme.php.
Hernandez, M. L., Levy, R., Felton-Koestler, M. D., & Zbiek, R. M. (2016). Mathematical modelling in the High School Curriculum. Mathematics Teacher, 110(5), 336–342.
Krug, A., & Schukajlow, S. (2013). Problems with and without connection to reality and students’ task-specific interest. In A. M. Lindmeier & A. Heinze (Eds.), Proceedings of the 37th Conference of the International Group for the Psychology of Mathematics Education (Vol. 3, pp. 209–216). Kiel, Germany: PME.
Organisation for Economic Co-operation and Development. (2015). PISA 2015: Technical Standards. Retrieved April 25, 2018, from https://www.oecd.org/pisa/pisaproducts/PISA-2015-Technical-Standards.pdf.
Rellensmann, J., & Schukajlow, S. (2016). Are mathematical problems boring? Boredom while solving problems with and without a connection to reality from students’ and pre-service teachers’ prospective. In C. Csíkos, A. Rausch, & J. Szitanyi (Eds.), Proceedings of the 40th Conference of the International Group for the Psychology of Mathematics Education (Vol. 4, pp. 131–138). Szeged, Hungary: PME.
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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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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