Physic and Mathematics models in a co-disciplinary Study and Research Paths (SRPs) in the pre-service teacher education
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https://doi.org/10.51724/ijpce.v11i3.50Keywords:
Mathematical and Physical models, Study and Research Paths, pre-service teacher training, university levelAbstract
We present results of an implementation of Study and Research Path (SRP) carried out into a pre- service mathematics teacher-training course at University level. A co-disciplinary SRP from the generating question Q0: Why did the Movediza stone in Tandil fall? Requires developing both physical and mathematical models to build a possible answer to this question. Some conclusions concerning on the restrictions and relevance of introducing the SRP in pre-service teachers training courses related to modeling activity at university are presented.
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Alonso, M. & Finn, E. J. (1992). Física 1. México: Addison-Wesley Iberoamericana.
Barquero, B., Bosch, M., & Gascón, J. (2011). Los Recorridos de Estudio e Investigación y la modelización matemática en la enseñanza universitaria de las Ciencias Experimentales. Enseñanza de las Ciencias, Revista de investigación y experiencias didácticas, 29 (3), pp. 339-352.
Barquero, B., Monreal, N., Ruiz-Munzón, N., & Serrano, L. (2018). Linking transmission with inquiry at university level through study and research paths: The case of forecasting Facebook user growth. International Journal of Research in Undergraduate Mathematics Education, 4(1), pp 8–22.
Blum, W., & Niss, M. (1991). Applied mathematical problem solving, modelling, applications, and links to other subjects – state, trends, and issues in mathematics instruction. Educational Studies in Mathematics, 22(1), 37-68.
Blum, W., & Leiß, D. (2007). How do students and teachers deal with modelling problems? En C. Haines et al. (Eds), Mathematical Modelling. Education, Engineering and Economics. (pp. 222-231). Chichester, UK: Horwood.
Blomhøj, M. (2009). Different perspectives in Research on the teaching and learning Mathematical Modelling. Proceedings at the 11th International Congress on Mathematical Education in Monterrey, Mexico, July 6-13, 2008.
Bosch, M., García, F. J., Gascón, J., & Ruiz Higueras, L. (2006). La modelización matemática y el problema de la articulación de la matemática escolar. Una propuesta desde la teoría antropológica de lo didáctico. Educación Matemática, 18 (2), pp. 37-74.
Chalmers, C., Carter, M., & Cooper, T. (2017). Implementing “Big Ideas” to Advance the Teaching and Learning of Science, Technology, Engineering, and Mathematics (STEM). International Journal of Science and Mathematics Education, 15 (Suppl 1), 25-43.
Czerniak, C. M. & Johnson, C. C. (2014). Interdisciplinary science and STEM teaching. In N. G. Lederman & S. K. Abell (Eds.), Handbook of research on science education, 2nd ed. (Mahwah, NJ: Lawrence Erlbaum Associates, pp. 395–412.
Chevallard, Y. (1999) El análisis de las prácticas docentes en la teoría antropológica de lo didáctico. Recherches en Didactique des Mathématiques, 19 (2), pp. 221-266.
Chevallard, Y. (2013). Enseñar Matemáticas en la Sociedad de Mañana: Alegato a Favor de un Contraparadigma Emergente. Journal of Research in Mathematics Education, 2 (2), 161-182.
Chevallard, Y. (2015). Teaching Mathematics in Tomorrow’s Society: A Case for an Oncoming Counter Paradigm. En S.J. Cho (Ed.), The Proceedings of the 12th International Congress on Mathematical Education (pp. 173-187). Dordrecht: Springer.
El Hage, E. & Levy, P. (2012). La Piedra viva. Municipio de Tandil. Artes Gráficas. 2° Ed.
Elmer, F. J. (2011). The Pendulum Lab. University of Basel, Switzerland. Disponible en: http://www.elmer.unibas.ch/pendulum/.
Heil, D. R., Pearson, G. & Burger, S. E. (2013). Understanding Integrated STEM Education: Report on a National Study. ASEE Annual Conference & Exposition. Atlanta, Georgia.
Holmberg, L. E. (1982). Caras y Caretas, XV (702).
Otero, M. R., Arlego, M., & Llanos, V. C. (2017). Developing Research and Study Courses (RSC) in the pre-service teacher education. European Journal of Education Studies, 3 (8), pp. 214-240.
Otero, M. R., Gazzola, M., Llanos, V. C., & Arlego, M. (2016). Co-disciplinary Physics and Mathematics Research and Study Course (RSC) within three study groups: teachers-in-training, secondary school students and researchers. Science, Mathematics and ICT Education, 10 (1), pp. 55-78.
Otero, M. R., Fanaro, M., Corica, A. R., Llanos, V. C., Sureda, P., & Parra, V. (2013). La Teoría Antropológica de lo Didáctico en el Aula de Matemática. Editorial Dunken, Buenos Aires, Argentina. ISBN: 978-987-02-7071-3.
Peña, L. M., Soto, L. M, Mariño, O. Y. (2017). Mathematical Modelling as pedagogical strategy for solving the optimization problems to engineering student. Revista Actas de Ingeniería, 3. pp. 228-233.
Peralta, M. H., Ercoli, N. L., Godoy, M. L., Rivas, I., Montanaro, M. I., & Bacchiarello, R. (2008). Proyecto estructural de la réplica de la piedra movediza: comportamiento estático y dinámico. XX Jornadas Argentinas de Ingeniería Estructural.
Resnick, R., Halliday, D., & Krane, K. S. (2001). Física, Vol. 1. 4ta. Edición. México, CECSA.
Rojas, R. (1912). La Piedra muerta. Martín García, Editor, Buenos Aires, Argentina.
Sanders, M. (2009). STEM, STEM education, STEMmania. The Technology Teacher, 68 (4), 20–26.
Tipler, P. A. (1994). Física. Editorial Reverté. Barcelona, España.
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