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Learning Linear Algebra Using Models and Conceptual Activities

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Challenges and Strategies in Teaching Linear Algebra

Part of the book series: ICME-13 Monographs ((ICME13Mo))

Abstract

In this chapter, an innovative approach, including challenging modeling situations and tasks sequences to introduce linear algebra concepts is presented. The teaching approach is based on Action, Process, Object, Schema (APOS) Theory . The experience includes the use of several modeling situations designed to introduce some of the main linear algebra concepts. Results obtained in several experiences involving different concepts are presented focusing on crucial moments where students develop new strategies, and on success in terms of student’s understanding of linear algebra concepts. Conclusions related to the success of the use of the approach in promoting student’s understanding are discussed.

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References

  • Arnon, I., Cottrill, J., Dubinsky, E., Oktaç, A., Roa Fuentes, S., Trigueros, M., & Weller, K. (2014). APOS Theory: A framework for research and curriculum development in mathematics education. New York: Springer Verlag.

    Google Scholar 

  • Bardini, C., & Stacey, K. (2006). Students’ conceptions of m and c: How to tune a linear function. In J. Novotna, H. Moraova, M. Kratka & N. Stehlikova (Eds.), Procedings of the 30th conference of the international group for the psychology of mathematics education (Vol. 2, pp. 113–120). Prague, Czech Republic: Charles University.

    Google Scholar 

  • Dogan, H. (2010). Linear Algebra Students’ Modes of Reasoning: Geometric Representations. Linear Algebra and Its Applications, 432, 2141–2159.

    Google Scholar 

  • Dogan-Dunlap, H. (2006). Lack of Set Theory-Relevant Prerequisite Knowledge. International Journal of Mathematical Education in Science and Technology (IJMEST). 37(4), 401–410.

    Google Scholar 

  • Dorier, J. L., & Sierpinska, A. (2001). Research into the teaching and learning of linear algebra. In D. Holton, M. Artigue, U. Krichgraber, J. Hillel, M. Niss, & A. Schoenfeld (Eds.), The Teaching and Learning of Mathematics at University Level: An ICMI Study (pp. 255–273). Dordrecht, Netherlands: Kluwer Academic Publishers.

    Google Scholar 

  • Gol, S. (2012). Dynamic geometric representation of eigenvector. In S. Brown, S. Larsen, K. Marrongelle, & M. Oehrtman (Eds.), Proceedings of the 15th annual conference on research in undergraduate mathematics education (pp. 53–58). Portland, Oregon.

    Google Scholar 

  • Gueudet, G. (2004). Should we teach linear algebra through geometry? Linear Algebra and its Applications, 379, 491–501.

    Google Scholar 

  • Harel, G. (1999). Students’ understanding of proofs: A historical analysis and implications for the teaching of geometry and linear algebra. Linear Algebra and Its Applications, 302–303, 601–613.

    Google Scholar 

  • Larson, C., Rasmussen, C., Zandieh, M., Smith, M., & Nelipovich, J. (2007). Modeling perspectives in linear algebra: a look at eigen-thinking. http://www.rume.org/crume2007/papers/larson-rasmussen-zandieh-smith-nelipovich.pdf.

  • Larson, C., Zandieh, M., & Rasmussen, C. (2008). A trip through eigen-land: Where most roads lead to the direction associated with the largest eigenvalue. Paper presented at the 11 Research in Undergraduate Mathematics Education Conference, San Diego https://www.researchgate.net/profile/Chris_Rasmussen/publication/253936179.

  • Malisani, E., & Spagnolo, F. (2009). From arithmetical thought to algebraic thought: The role of the “variable”. Educational Studies in Mathematics, 71, 19–41.

    Google Scholar 

  • Maracci, M. (2008). Combining different theoretical perspectives for analyzing students’ difficulties in vector spaces theory. ZDM, 40, 265–276.

    Google Scholar 

  • Oktaç, A., & Trigueros, M. (2010). ¿Cómo se aprenden los conceptos de álgebra lineal? Revista Latinoamericana de Investigación en Matemática Educativa. 13, 373–385.

    Google Scholar 

  • Possani, E., Trigueros, M., Preciado, G., & Lozano, M. D. (2010). Use of models in the Teaching of Linear Algebra. Linear Algebra and its Applications. 432(8), 2125–2140.

    Google Scholar 

  • Salgado, H., & Trigueros, M. (2014). Una experiencia de enseñanza de los valores, vectores y espacios propios basada en la Teoría APOE. Educación Matemática 26, 75–107.

    Google Scholar 

  • Sierpinska, A. (2000). On some aspects of students’ thinking in Linear Algebra. In J. Dorier (Ed.), On the Teaching of Linear Algebra. 209–246.

    Google Scholar 

  • Stewart, S., & Thomas, M. (2007). Eigenvalues and eigenvectors: formal, symbolic, and embodied thinking. The 10th CRUME (RUME), 275–296.

    Google Scholar 

  • Thomas, M., & Stewart, S. (2011). Eigenvalues and eigenvectors: embodied, symbolic and formal thinking. Mathematics Education Research Group of Australasia. 23, 275–296.

    Google Scholar 

  • Trigueros, M. (2014). Vínculo entre la modelación y el uso de representaciones en la comprensión de los conceptos de ecuación diferencial de primer orden y de solución. Educación Matemática. 25 años (número especial) 207–226.

    Google Scholar 

  • Trigueros, M. & Jacobs, S. (2008). On Developing a Rich Conception of Variable. In M. P. Carlson & C. Rasmussen (Eds.) Making the Connection: Research and Practice in Undergraduate Mathematics. MAA Notes#73, Mathematical Association of America, pp. 3–14.

    Google Scholar 

  • Trigueros, M., & Lozano, M. D. (2010). Learning linear independence through modelling. In M. F. Pinto & T. F. Kawasaki (Eds.), Proceedings of the 34th Conference of the International Group for the Psychology of Mathematics Education (Vol. 4, pp. 233–240). Belo Horizonte, Brazil: PME.

    Google Scholar 

  • Trigueros, M., & Possani, E. (2013). Using an economics model for teaching linear algebra. Linear Algebra and its Applications. 438, pp. 1779–1792.

    Google Scholar 

  • Trigueros, M., Oktaç, A., & Manzanero, L. (2007). Understanding of systems of equations in linear algebra. In Proceedings of the 5th CERME, pp. 2359–2368.

    Google Scholar 

  • Ursini, S., & Trigueros, M. (1997). Understanding of Different Uses of Variable: A Study with Starting College Students. Proceedings of the XXI PME International Conference, vol. 4, pp. 254–261.

    Google Scholar 

  • Wawro, M., Rasmussen, C., Zandieh, M., Larson, C., & Sweeney, G. (2012). An inquiry-oriented approach to span and linear independence: The case of the magic carpet ride sequence. PRIMUS: Problems, Resources, and Issues in Mathematics Undergraduate Studies 22(8), 577–599.

    Google Scholar 

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Acknowledgements

Work funded by Asociación Mexicana de Cultura A.C. and ITAM.

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Correspondence to María Trigueros .

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Appendix

Appendix

1.1 A Possible Solution to the Traffic (SLE) Problem

The following diagram shows a map of a sector of streets in the downtown area of a city. The traffic control center has installed sensors to detect the number of vehicles that transit by the sector. In the figure the arrows represent the direction of each street. In each intersection, we can consider that there is a roundabout that enables a continuous flux of traffic around the sector. Parking is not permitted. Can a street be closed without causing a traffic jam? What is the minimum number of cars that can be allowed to circulate through a street, to avoid traffic jams? (Table 2).

Table 2 Solution traffic problem

1.2 A Possible Solution to Production Problem (li, ld)

A group of three industries produce goods to satisfy their own demand (to satisfy the demands of the industries in the group) and to satisfy external consumers demand. Supposing that the quantity of good produced by each industry satisfies the needs of all the other industries, its own demand and the consumers’ needs and that you know the production of the industries for nine periods of internal and external demand, how would you find the fractions of the production of each industry to satisfy those demands? How many data would you need to respond the former question and how would you chose them? Can you use what you found to predict the production needed for the 6th (Tables 3, 4 and 5).

Table 3 External demand for 9 months is millions of pesos
Table 4 Production for 9 months in millions of pesos
Table 5 Solution production problem

1.3 A Possible Solution to Employment Problem (Eigen)

In an economy, there is a certain number of employed persons and a certain number of unemployed persons at a certain time. The number of employed and unemployed persons is considered as the labor force for the economy and can be considered constant. If the probability that an unemployed person finds a job at any time and the probability that an employed person continues in a job at the same period is known. Find a mathematical model that describes the dynamics of employment. According to your model, what would be expected to happen with the number of employed and unemployed persons in the long term? (Table 6).

Table 6 Solution employment problem

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Trigueros, M. (2018). Learning Linear Algebra Using Models and Conceptual Activities. In: Stewart, S., Andrews-Larson, C., Berman, A., Zandieh, M. (eds) Challenges and Strategies in Teaching Linear Algebra. ICME-13 Monographs. Springer, Cham. https://doi.org/10.1007/978-3-319-66811-6_2

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  • DOI: https://doi.org/10.1007/978-3-319-66811-6_2

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