Mathematical modeling: a positive learning approach to facilitate student sense making in mathematics
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Scott Chamberlin [2] ; Anna M. Payne [1] ; Todd Kettler [1]
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[1] Baylor University
Baylor University
Estados Unidos
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[2] University ofWyoming
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- Localización: International journal of mathematical education in science and technology, ISSN 0020-739X, Vol. 53, Nº. 4, 2022, págs. 858-871
- Idioma: inglés
- Texto completo no disponible (Saber más ...)
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Resumen
The purpose of this literature review is to explicate the facets of mathematical problem solving taxonomies in relation to mathematical modeling. Subsequently, components and learning benefits of mathematical modeling are discussed. Examples of mathematical problems are embedded in the discussion and pragmatic applications to mathematical learning, are provided. Mathematical modeling is a chief focus of the problem types and their structural characteristics (e.g. multiple entry points, multiple processes and products, opportunity to mathematize, interest generating, and pre-college level thinking) are detailed so that readers can consider prospective by-products. Such by-productsmaybe, but are not limited to positive affective outcomes, high propensity to positively influence creative process and product, and conceptual learning while making sense of mathematics.
