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Cited by 172

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

The Mathematical Modeling of Structural Engineers

Open access
Gainsburg, Julie·2006·Mathematical Thinking and Learning

Abstract

Math-education reformers encourage the incorporation of mathematical modeling activities into K-12 curricula. Many of the purported educational benefits derive from the authenticity of the activities-how well they reflect the everyday and occupational mathematical practices of adults. But a paucity in the literature of observational descriptions of adult modeling behavior has made it difficult to judge the authenticity of classroom activities and their potential to prepare students for out-of-school problem solving. The ethnographic study reported here investigated the everyday problem-solving activity of structural engineers in practice. Modeling was found to be central to and ubiquitous in the engineers' work, giving rise to some of their greatest intellectual challenges. These engineers use, adapt, and create models of various representation forms and degrees of abstraction. Two major challenges of modeling emerged: understanding inaccessible phenomena and keeping track of models. These challenges, and the nature of engineering models themselves, are not well reflected in the modeling tasks typically prescribed for the K-12 classroom, which will likely limit their educational benefits.

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Crossref · 10.1207/s15327833mtl0801_2

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Metadata

Authors
Gainsburg, J.
Venue
Mathematical Thinking and Learning
Published
2006-01
Volume
8
Issue
1
Pages
3-36
ISSN
  • 1098-6065 (ISSN-L)
  • 1532-7833
OpenAlex
W2016922693
Cited by
172
References
2
FWCI
12.63
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The Mathematical Modeling of Structural Engineers. https://app.cochat.ai/papers/10.1207/s15327833mtl0801_2
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Gainsburg, J. (2006). The Mathematical Modeling of Structural Engineers. Mathematical Thinking and Learning. https://doi.org/10.1207/s15327833mtl0801_2

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.