R PROJECT APPLIED TO THE TEACHING OF NUMERICAL METHODS
This article analyzes the potential of the R Project as a tool for teaching numerical methods in engineering degrees. Traditionally, this content is taught using proprietary software, which limits student access outside the classroom and reduces the possibilities for reproducibility and integration with data analysis. R, being a free and open-source environment, allows the implementation of classic numerical method algorithms (such as interpolation, numerical integration, solving differential equations, and linear equation systems) while also facilitating graphical visualization and experimentation with different parameters. Based on a review of specialized literature and various teaching experiences, a didactic design is proposed that integrates the use of R for the development of activities focused on problem solving, reproducible documentation, and written reflection on the results obtained. The theoretical findings suggest that the use of R in this context contributes not only to the conceptual understanding of numerical methods, but also to the strengthening of cross-cutting skills such as programming, critical data analysis, and scientific communication. It is concluded that the R Project represents an accessible and pedagogically sound alternative for modernizing the teaching of numerical methods, and future lines of empirical research are proposed to evaluate its impact on student performance and attitudes toward applied mathematics and computing.
R PROJECT APPLIED TO THE TEACHING OF NUMERICAL METHODS
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DOI: https://doi.org/10.22533/at.ed.3175925041211
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Palavras-chave: R Project, numerical methods, learning, higher education.
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Keywords: R Project, numerical methods, learning, higher education.
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Abstract:
This article analyzes the potential of the R Project as a tool for teaching numerical methods in engineering degrees. Traditionally, this content is taught using proprietary software, which limits student access outside the classroom and reduces the possibilities for reproducibility and integration with data analysis. R, being a free and open-source environment, allows the implementation of classic numerical method algorithms (such as interpolation, numerical integration, solving differential equations, and linear equation systems) while also facilitating graphical visualization and experimentation with different parameters. Based on a review of specialized literature and various teaching experiences, a didactic design is proposed that integrates the use of R for the development of activities focused on problem solving, reproducible documentation, and written reflection on the results obtained. The theoretical findings suggest that the use of R in this context contributes not only to the conceptual understanding of numerical methods, but also to the strengthening of cross-cutting skills such as programming, critical data analysis, and scientific communication. It is concluded that the R Project represents an accessible and pedagogically sound alternative for modernizing the teaching of numerical methods, and future lines of empirical research are proposed to evaluate its impact on student performance and attitudes toward applied mathematics and computing.
- Ana Laura Fernández Mena
- Manuel Antonio Rodríguez Magaña
- Guadalupe Pérez Esquivel
- Manuel Antonio Rodríguez Fernández
- Valeria Itzel Martínez Cruz