Journal article
Teaching mathematical modelling: a framework to support teachers’ choice of resources
Teaching Mathematics and its Applications, Vol.39(2), pp.127-144
2020
Abstract
Mathematics teachers are often keen to find ways of connecting mathematics with the real world. One way to do so is to teach mathematical modelling using real data. Mathematical models have two components: a model structure and parameters within that structure. Real data can be used in one of two ways for each component: (a) to validate what theory or context suggests or (b) to estimate from the data. It is crucial to understand the following: the implications of using data in these different ways, the differences between them, the implications for teaching and how this can influence students' perceptions of the real-world relevance of mathematics. Inappropriately validating or estimating with data may unintentionally promote poor practice and (paradoxically) reinforce in students the incorrect idea that mathematics has no relevance to the real world. We recommend that teachers approach mathematical modelling through mathematizing the context. We suggest a framework to support teachers' choice of modelling activities and demonstrate these using examples.
Details
- Title
- Teaching mathematical modelling: a framework to support teachers’ choice of resources
- Authors
- Peter K Dunn (Corresponding Author) - University of the Sunshine Coast, Queensland, School of Health and Sport Sciences - LegacyMargaret Marshman (Author) - University of the Sunshine Coast, Queensland, School of Education - Legacy
- Publication details
- Teaching Mathematics and its Applications, Vol.39(2), pp.127-144
- Publisher
- Oxford University Press
- Date published
- 2020
- DOI
- 10.1093/teamat/hrz008
- ISSN
- 0268-3679
- Organisation Unit
- School of Education - Legacy; School of Education and Tertiary Access; University of the Sunshine Coast, Queensland; School of Health and Sport Sciences - Legacy; School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 99450798102621
- Output Type
- Journal article
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