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Visualization of orthonormal triads in cylindrical and spherical coordinates. (English) Zbl 1392.97005

Kotsireas, Ilias S. (ed.) et al., Applications of computer algebra, Kalamata, Greece, July 20–23, 2015. Cham: Springer (ISBN 978-3-319-56930-7/hbk; 978-3-319-56932-1/ebook). Springer Proceedings in Mathematics & Statistics 198, 257-266 (2017).
Summary: According to Committee on Programs for Advanced Study of Mathematics and Science in American High Schools, “the primary goal of advanced study in any discipline should be for students to achieve a deep conceptual understanding of the disciplines content”. It is undoubted that abstraction is one of the skills that teachers wish to improve in their students, but, how can teachers take advantage of technological resources, such as CAS or DGS, as help in their classes in undergraduate courses? One concept, whose importance is both theoretical and practical, corresponds to the coordinate transformation, in particular orthogonal coordinate systems. We can use trigonometric constructions to find the transformation equations, namely, the algorithm for transforming a Cartesian system into other coordinate system, as cylindrical or spherical coordinates. Not only, if we add the knowledge and some techniques from Linear Algebra, we can motivate new mathematical properties, but also we will increase considerably the abstract reasoning and symbolic calculation. We know that visualization helps intuitive understanding. Therefore, we propose using CAS and DGS to show how a triad, of basis vectors, is continuously changing direction, keeping the norm vector without change, and how this match visualization with the reasoning from theories of linear algebra.
For the entire collection see [Zbl 1379.13001].

MSC:

97U70 Technological tools, calculators (aspects of mathematics education)
Full Text: DOI

References:

[1] Gollub, J., Bertenthal, W., Labov, J., Curtis, P. (eds.): Learning and Understanding. Improving Advanced Study of Mathematics and Science in U.S. Hight Schools. National Academic Press, Washington D.C. (2002)
[2] Zimmermann, W., Cunningham, S.: Visualization in teaching and learning mathematics. MAA Notes 19, 1-7 (1991) · Zbl 1074.97500
[3] Duval, R.: Semiosis y pensamiento humano. Registros semióticos y aprendizajes intelectuales. Universidad del Valle, Instituto de Educación Matemática, Colombia (1999)
[4] Hitt, F.: Registro de representación semiótica y funcionamiento cognitivo del pensamiento. Investigaciones en Educación Matemática II, 173201 (1998)
[5] Castro, E., Castro, E.: Representación y Modelización. Horsiri/ICE UAB, Barcelona (1997)
[6] Zazkis, R., Dubinsky, E., Dautermann, J.: Coordinating visual and analytic strategies: a study of students understanding of the group. J. Res. Math. Educ. 27(4), 435-457 (1996) · doi:10.2307/749876
[7] Bishop, A.: Review of research on visualization in mathematics education. Focus Learn. Probl. Math. 11(1), 716 (1989)
[8] Gilbert, E.: Models and Modeling in Science Education. Visualization in Science Education. Springer, Dordrecht (2005)
[9] Haaser, N., LaSalle, J., Sullivan, J.: Análisis Matemático, vol. 1. Trillas, México (1970)
[10] Kurmyshev, E., Sánchez-Yañez, R.: Fundamentos de Métodos Matemáticos para Física e Ingeniería. LIMUSA, México (2003)
[11] Hauser, W.: Introducción a los Principios de Mecánica. UTEHA, México (1969)
[12] Arfken, G., Weber, H.: Mathematical Methods for Physicists. Elsevier, Boston (2005) · Zbl 1066.00001
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