Mathematical Modelling from a Semiotic-Cognitive Approach

Mathematical modelling has acquired relevance in different fields at an international level, both in education and research. This article states that, throughout the construction of the theoretical corpus of this mathematical process and competency – among others – two big issues have occurred: one of terminological nature since the definitions surrounding modelling have varied, and other of representational nature since different representations have been proposed to explain modelling as a cyclical process. These two issues occur mainly due to the diversity of positions on how modelling is understood and how this process is tried to be explained. To address the terminological issue, a position was adopted on the terminology surrounding modelling in Mathematics Education, based on the main theoretical developments of ICTMA Community. To address the representational issue, a modelling cycle from a semiotic-cognitive approach that represents this process in a non-set way is proposed, that is, without a strict separation between «real world» and «mathematical world». In this way, a proposal aligned with a system of theoretical principles (terminology and structure), a methodology (modelling cycle), and sketches of research questions (for future theoretical and empirical developments) is presented to address both issues.

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Publication Details

Journal
Journal of Research in Mathematics Education
Published
2024-10-24
DOI
https://doi.org/10.17583/redimat.15066
Citations
5
Primary Topic
AI-based Problem Solving and Planning
Type
article
Field-Weighted Citation Impact
1.74

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article

Mathematical Modelling from a Semiotic-Cognitive Approach

Carlos Ledezma
5 citations
Journal of Research in Mathematics Education
AI-based Problem Solving and Planning
1.74
article

Mathematical Modelling from a Semiotic-Cognitive Approach

Carlos Ledezma
article en
5 citations

Abstract

Mathematical modelling has acquired relevance in different fields at an international level, both in education and research. This article states that, throughout the construction of the theoretical corpus of this mathematical process and competency – among others – two big issues have occurred: one of terminological nature since the definitions surrounding modelling have varied, and other of representational nature since different representations have been proposed to explain modelling as a cyclical process. These two issues occur mainly due to the diversity of positions on how modelling is understood and how this process is tried to be explained. To address the terminological issue, a position was adopted on the terminology surrounding modelling in Mathematics Education, based on the main theoretical developments of ICTMA Community. To address the representational issue, a modelling cycle from a semiotic-cognitive approach that represents this process in a non-set way is proposed, that is, without a strict separation between «real world» and «mathematical world». In this way, a proposal aligned with a system of theoretical principles (terminology and structure), a methodology (modelling cycle), and sketches of research questions (for future theoretical and empirical developments) is presented to address both issues.

Journal of Research in Mathematics EducationVol. 13(3)
Universitat de Barcelona (ES)
Universitat de Barcelona, Agencia Nacional de Investigación y Desarrollo, European Regional Development Fund, Agencia Estatal de Investigación
Quality Education
Openalex Percentile: Top 13%
AI-based Problem Solving and Planning
1.74
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