Abstract
Within ICTMA and beyond, it is essential that authors clearly present their understanding of the term mathematical modelling. There are multiple interpretations and associated understandings, which contribute to fruitful discourse, but at times, it is left to the reader to identify the views of the author. The same is true of the term teacher education, but here the differences relate to practices rather than interpretation. Firstly, the meaning of mathematical modelling is examined. With respect to purposes for teaching, Julie and Mudaly (2007, p. 504) identified modelling as vehicle and modelling as content. For the former, real world problems are used for both motivation and the development of specific mathematical content. For the latter, the focus shifts to ‘developing the capacity of students to address problems located in the external world, and to evaluate the quality of their solutions’ (Galbraith 2007, p. 181). These approaches are not dichotomous, whilst the emphasis may be different the goals may intersect as, in order to solve a genuine problem, the need for new mathematical content may emerge (Stillman et al. 2008, p. 145). In addition, what distinguishes a modelling task from an application task? Stillman positions applications tasks ‘between structured word problems and open modelling problems’ (2000, p. 334) such that the problem must be embedded in a real world context. Moreover, ‘in an applications task, the primary sources of information that are external to the task solver are the problem statement and any accompanying visual representations’ (p. 335).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Galbraith, P. (2007). Authenticity and goals: Overview. In W. Blum, P. Galbraith, H.-W. Henn, & M. Niss (Eds.), Modelling and applications in mathematics education: The 14th ICMI study (pp. 181–184). New York: Springer.
Julie, C., & Mudaly, V. (2007). Mathematical modelling of social issues in school mathematics in South Africa. In W. Blum, P. Galbraith, H.-W. Henn, & M. Niss (Eds.), Modelling and applications in mathematics education: The 14th ICMI study (pp. 503–510). New York: Springer.
Kaiser, G., & Sriraman, B. (2006). A global survey of international perspectives on modelling in mathematics education. Zentralblatt für Didaktik der Mathematik, 63(9), 302–310.
Kaiser, G., Sriraman, B., Blomhøj, M., & Garcia, J. (2007). Report from the CERME5 working group modelling and applications – Differentiating perspectives and delineating commonalties. ICTMA Newsletter, 1(1), 6–10.
Stillman, G. A. (2000). Impact of prior knowledge of task context on approaches to applications tasks. The Journal of Mathematical Behavior, 19(3), 333–361.
Stillman, G. A., Brown, J. P., & Galbraith, P. L. (2008). Research into the teaching and learning of applications and modelling in Australasia. In H. Forgasz et al. (Eds.), Research in mathematics education in Australasia 2004–2007 (pp. 141–164). Rotterdam: Sense.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer Science+Business Media B.V.
About this paper
Cite this paper
Brown, J.P. (2011). Mathematical Modelling in Teacher Education – Overview. In: Kaiser, G., Blum, W., Borromeo Ferri, R., Stillman, G. (eds) Trends in Teaching and Learning of Mathematical Modelling. International Perspectives on the Teaching and Learning of Mathematical Modelling, vol 1. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-0910-2_25
Download citation
DOI: https://doi.org/10.1007/978-94-007-0910-2_25
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-0909-6
Online ISBN: 978-94-007-0910-2
eBook Packages: Humanities, Social Sciences and LawEducation (R0)