Advertisement

ZDM

, Volume 50, Issue 1–2, pp 19–30 | Cite as

Considerations on the use of mathematics in modeling activities

  • Lourdes Maria Werle de Almeida
Original Article

Abstract

This paper aims to investigate the following question: How do students use mathematics in modeling activities? With this purpose, the paper reports on mathematization and use of mathematics, and deals with empirical data with focus on modeling activities performed by students in the first year and in the fourth year of a degree in mathematics. After the description of a theoretical framework of modelling, what can be seen by means of a qualitative analysis is that the perception of messy world situations leads to idealization, and the idealized situation acts as the basis for mathematization in each activity. The mathematization in turn leads to different mathematics concepts, tools and procedures. The use of mathematics that students perform is anchored in their previous experiences, be it in their experiences with the concepts and tools of mathematics, or in their experiences with mathematical modeling practices. Besides that, after this process students have advanced and have expanded their knowledge and made significant progress by means of a balance between teacher guidance and students’ independence. Moreover, beyond mathematical knowledge, the research indicated that success in performing modeling activities also requires knowledge-based mathematical modeling anticipation.

References

  1. Almeida, L. M. W., & Silva, H. C. (2015). A matematização em atividades de modelagem matemática. (The mathematization in mathematical modelling activities.). Alexandria, 8(3), 207–227.Google Scholar
  2. Araújo, J. L. (2010). Brazilian research on modelling in mathematics education. ZDM—The International Journal on Mathematics Education, 42(2), 337–348.CrossRefGoogle Scholar
  3. Blum, W. (2015). Quality teaching of mathematical modelling: What do we know, what can we do? In The Proceedings of the 12th International Congress on Mathematical Education: Intellectual and Attitudinal Changes (pp. 73–96). New York: Springer.Google Scholar
  4. Blum, W., & Ferri, R. B. (2009). Mathematical modelling: Can it be taught and learnt? Journal of Mathematical Modelling and Application, 1(1), 45–58.Google Scholar
  5. Bogdan, R. C., & Biklen, S. K. (2003). Qualitative research for education: An introduction to theories and methods (4th ed.). New York: Pearson Education.Google Scholar
  6. Bortoni-Ricardo, S. M. (2008). O professor pesquisador: introdução à pesquisa qualitativa (The researcher professor: introduction to qualitative research). São Paulo: Parábola Editorial. (Estratégias de Ensino, 8).Google Scholar
  7. Carrejo, D. J., & Marshall, J. (2007). What is mathematical modelling? Exploring prospective teachers’ use of experiments to connect mathematics to the study of motion. Mathematics Education Research Journal, 19(1), 45–76.CrossRefGoogle Scholar
  8. Dumão Junior, W. A., & Windmöller, C. C. (2008). A Questão do mercúrio em lâmpadas fluorescentes. (The mercury issue in fluorescent lamps). Química Nova na Escola, 28, 15–19.Google Scholar
  9. Ferri, R. B. (2006). Theoretical and empirical differentiations of phases in the modelling process. ZDM, 38(2), 86–95.CrossRefGoogle Scholar
  10. Galbraith, P. (2012). Models of modelling: Genres, purposes or perspectives. Journal of Mathematical Modelling and application, 1(5), 3–16.Google Scholar
  11. Galbraith, P. (2015). Modelling, education, and the epistemic fallacy. In G. A. Stillman, W. Blum, & M. S. Biembengut (Eds.), Mathematical Modelling in Education Research and Practice: Cultural, Social and Cognitive Influences (pp. 339–350). New York: Springer.CrossRefGoogle Scholar
  12. Galbraith, P., & Stillman, G. (2006). A framework for identifying student blockages during transitions in the modeling process. ZDM, 38(2), 143–162.CrossRefGoogle Scholar
  13. Geiger, V., & Frejd, P. (2015). A reflection on mathematical modelling and applications as a field of research: Theoretical orientation and diversity. In G. A. Stillman, W. Blum, & M. S. Biembengut (Eds.), Mathematical Modelling in Education Research and Practice: Cultural, Social and Cognitive Influences (pp. 161–172). New York: Springer.CrossRefGoogle Scholar
  14. Grigoraş, R., García, F. J., & Halverscheid, S. (2011). Examining mathematising activities in modelling tasks with a hidden mathematical character. In G. Kaiser et al. (Eds.), Trends in Teaching and Learning of Mathematical Modelling (ICTMA 14) (pp. 85–96). Dordrecht: Springer.CrossRefGoogle Scholar
  15. Husserl, E. (2012). A crise das ciências europeias e a fenomenologia transcendental. Uma introdução à filosofia fenomenológica (The crisis of european sciences and transcendental phenomenology. An introduction to phenomenological philosophy) (Diogo Falcão, Trad.). Rio de Janeiro: Ed. Forense Universitária.Google Scholar
  16. Jablonka, E., & Gellert, U. (2007). Mathematisation–demathematisation. In U. Gellert, & E. Jablonka (Ed.), Mathematisation and Demathematisation (pp. 1–19). Rotterdam: Sense Publishers.Google Scholar
  17. Kaiser, G., & Schwarz, B. (2006). Mathematical modelling as bridge between school and university. ZDM, 38(2), 196–208.CrossRefGoogle Scholar
  18. Kaiser, G., & Sriraman, B. (2006).. A global survey of international perspectives on modelling in mathematics education. Zentralblatt für Didaktik der Mathematik, 38(3), 302–310.CrossRefGoogle Scholar
  19. Kawakami, T., Saeki, A., & Matsuzaki, A. (2015). How do students share and refine models through dual modelling teaching: The case of students who do not solve independently. In G. A. Stillman, W. Blum, & M. S. Biembengut (Eds.), Mathematical Modelling in Education Research and Practice: Cultural, Social and Cognitive Influences (pp. 195–205). New York: Springer.CrossRefGoogle Scholar
  20. Lesh, R. (2002). Research design in mathematics education: Focusing on design experiments. In L. D. English (Ed.), Handbook of International Research in Mathematics Education (pp. 27–49). New Jersey: Lawrence Erlbaum Associates.Google Scholar
  21. Maaβ, K. (2006). What are modelling competencies? ZDM, 38(2), 113–142.CrossRefGoogle Scholar
  22. Mason, J. (2001). Modelling modelling: Where is the centre of gravity of-for-when modelling? In J. Matos, W. Blum, S. Houston & S. Carreira (Eds.), Modelling and mathematics Education: ICTMA 9 applications in science and technology (pp. 39–61). Chichester: Horwood Publishing.CrossRefGoogle Scholar
  23. Niss, M. (2010). Modelling a crucial aspect of students’ mathematical modelling. In R. Lesh et al. (Eds.), Modelling Students’ Mathematical Modelling Competencies (ICTMA 13) (pp. 43–60). New York: Springer.CrossRefGoogle Scholar
  24. Niss, M. (2015). Prescriptive modelling—challenges and opportunities. In G. A. Stillman, W. Blum, & M. S. Biembengut (Eds.), Mathematical Modelling in Education Research and Practice: Cultural, Social and Cognitive Influences (pp. 67–80). New York: Springer.CrossRefGoogle Scholar
  25. Pollak, H. O. (2012). What is mathematical modeling? In Mathematical Modeling Handbook. Bedfort: COMAP. http://www.comap.com. Accessed Jan 2016.
  26. Pollak, H. O. (2015). The place of mathematical modelling in the system of mathematics education: Perspective and prospect. In G. A. Stillman, W. Blum, & M. S. Biembengut (Eds.), Mathematical Modelling in Education Research and Practice: Cultural, Social and Cognitive Influences (pp. 265–275). New York: Springer.CrossRefGoogle Scholar
  27. Schaap, S., Vos, P., & Goedhart, M. (2011). Students overcoming blockages while building a mathematical model: Exploring a framework. In G. Kaiser, et al. (Eds.), Trends in Teaching and Learning of Mathematical Modelling (ICTMA 14) (pp. 165–180). Dordrecht: Springer.Google Scholar
  28. Sharma, S. (2013). Qualitative approaches in mathematics education research: Challenges and possible solutions. Education Journal, 2(2), 50–57. https://doi.org/10.11648/j.edu.20130202.14.
  29. Stillman, G. A., Brown, J. P., & Geiger, V. (2015). Facilitating mathematisation in modelling by beginning modellers in secondary school. In G. A. Stillman, W. Blum, & M. S. Biembengut (Eds.), Mathematical Modelling in Education Research and Practice: Cultural, Social and Cognitive Influences (pp. 93–104). New York: Springer.CrossRefGoogle Scholar

Copyright information

© FIZ Karlsruhe 2017

Authors and Affiliations

  1. 1.State University of LondrinaParanáBrazil

Personalised recommendations