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From “everything changes” to “for high numbers, it changes just a bit”

Theoretical notions for a microanalysis of conceptual change processes in stochastic contexts

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Abstract

This paper presents theoretical notions developed in a design research study for investigating the development of students’ conceptions within a learning environment for grade 6. The study was designed to give opportunities to learn about random data showing patterns in the long run while being haphazard in the short term. By an in-depth analysis, we have investigated the microprocesses of constructing meanings of short-term and long-term behaviour and of attempting to relate them to each other. We have identified different patterns of microprocesses such as negotiating the scope of applicability in terms of situational or stochastic contexts. These patterns can—as empirically grounded theoretical notions—refine the conceptual change approach by providing tools for describing students’ learning trajectories and potential obstacles in stochastics.

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References

  • Abrahamson, D., & Wilensky, U. (2007). Learning axes and bridging tools in a technology-based design for statistics. International Journal of Computers for Mathematical Learning, 12, 23–55.

    Article  Google Scholar 

  • Brown, J. S., Collins, A., & Duguid, S. (1989). Situated cognition and the culture of learning. Educational Researcher, 18(1), 32–42.

    Google Scholar 

  • Cobb, P., Confrey, J., diSessa, A., Lehrer, R., & Schauble, L. (2003). Design experiments in educational research. Educational Researcher, 32(1), 9–13.

    Article  Google Scholar 

  • Confrey, J. (1990). A review of the research on student conceptions in mathematics, science and programming. Review of Research in Education, 16(1), 3–56.

    Article  Google Scholar 

  • diSessa, A. (1993). Towards an epistemology of physics. Cognition and Instruction, 10(2–3), 105–225.

    Article  Google Scholar 

  • Dreyfus, T., & Tsamir, P. (2004). Ben’s consolidation of knowledge structures about infinite sets. Journal of Mathematical Behavior, 23, 271–300.

    Article  Google Scholar 

  • Duit, R., & Treagust, D. F. (2003). Conceptual change: a powerful framework for improving science teaching and learning. International Journal of Science Education, 25(6), 671–688.

    Article  Google Scholar 

  • Fischbein, E. (1975). The intuitive sources of probabilistic thinking in children. Dordrecht: Reidel.

    Book  Google Scholar 

  • Gravemeijer, K., & Cobb, P. (2006). Design research from the learning design perspective. In J. van den Akker, et al. (Eds.), Educational design research (pp. 45–85). London: Routledge.

    Google Scholar 

  • Gropengießer, H. (2001). Didaktische Rekonstruktion des Sehens. Wissenschaftliche Theorien und die Sicht der Schüler in der Perspektive der Vermittlung. Oldenburg: DIZ.

    Google Scholar 

  • Hußmann, S., Leuders, T., Prediger, S., & Barzel, B. (2011). Kontexte für sinnstiftendes Mathematiklernen (KOSIMA)—ein fachdidaktisches Forschungs- und Entwicklungsprojekt. Beiträge zum Mathematikunterricht, 419–422.

  • Hußmann, S., & Prediger, S. (2009). Je größer die Wurfanzahl, desto sicherer die Wette—Mit dem Spiel Wettkönig den Zufall auf lange Sicht erkunden. Praxis der Mathematik in der Schule, 51(25), 24–29.

    Google Scholar 

  • Johnston-Wilder, P., & Pratt, D. (2007). The relationship between local and global perspectives on randomness. In D. Pitta-Pantazi & G. Philippou (Eds.), European research in mathematics education: Proceedings of the Fifth Congress of the European Society for Research in mathematics education (pp. 742–751). Larnaca: Department of Education, University of Cyprus.

    Google Scholar 

  • Konold, C. (1989). Informal conceptions of probability. Cognition and Instruction, 6, 59–98.

    Article  Google Scholar 

  • Moore, D. S. (1990). Uncertainty. In L. Steen (Ed.), On the shoulders of giants: New approaches to numeracy (pp. 95–137). Washington, DC: National Academy Press.

    Google Scholar 

  • Posner, G., Strike, K., Hewson, P. W., & Gertzog, W. A. (1982). Accommodation of a scientific conception: Toward a theory of conceptual change. Science Education, 66(2), 211–227.

    Article  Google Scholar 

  • Pratt, D., & Noss, R. (2002). The micro-evolution of mathematical knowledge: The case of randomness. Journal of the Learning Sciences, 11(4), 453–488.

    Article  Google Scholar 

  • Prediger, S. (2008). Do you want me to do it with probability or with my normal thinking? Horizontal and vertical views on the formation of stochastic conceptions. International Electronic Journal of Mathematics Education, 3(3), 126–154.

    Google Scholar 

  • Prediger, S., & Hußmann, S. (2012). Spielen—Wetten—Voraussagen. Den Zufall im Griff? In S. Prediger, B. Barzel, S. Hußmann & T. Leuders (Eds.), Mathewerkstatt 6. Berlin: Cornelsen. (Textbook for German middle schools) (in press).

  • Prediger, S., & Rolka, K. (2009). Using betting games for initiating conceptual change. Asian Journal of Educational Research and Synergy, 1(1), 61–71.

    Google Scholar 

  • Prediger, S., & Schnell, S. (2011). Individual pathways in the development of students’ conceptions of patterns of chance. In M. Pytlak, T. Rowland & E. Swoboda (Eds.), Proceedings of the Seventh Congress of the European Society for Research in mathematics education (pp. 885–895). Rzeszow: University of Rzeszow.

  • Riemer, W. (1991). Stochastische Probleme aus elementarer Sicht. Mannheim: BI Wissenschaftsverlag.

    Google Scholar 

  • Ron, G., Dreyfus, T., & Hershkowitz, R. (2010). Partially correct constructs illuminate students’ inconsistent answers. Educational Studies in Mathematics, 75(1), 65–87.

    Article  Google Scholar 

  • Schnell, S. (2013). Entwicklung von individuellen Vorstellungen zum Phänomen Zufall (working title). PhD Thesis. TU Dortmund University (Supervisor S. Prediger) (in preparation).

  • Schwarz, B., Dreyfus, T., & Hershkowitz, R. (2009). The nested epistemic actions model for abstraction in context. In B. Schwarz, T. Dreyfus, & R. Hershkowitz (Eds.), Transformation of knowledge through classroom interaction (pp. 11–41). London, New York: Routledge.

    Google Scholar 

  • Sedlmeier, P., & Gigerenzer, G. (1997). Intuitions about sample size: The Empirical Law of large numbers. Journal of Behavioral Decision Making, 10(1), 33–51.

    Article  Google Scholar 

  • Shaughnessy, J. M. (1992). Research in probability and statistics. In D. A. Grouws (Ed.), Handbook of research on mathematics teaching and learning (pp. 465–494). New York: MacMillan.

    Google Scholar 

  • Tyson, L. M., Venville, G. J., Harrison, A. G., & Treagust, D. F. (1997). A multi-dimensional framework for interpreting conceptual change in the classroom. Science Education, 81(4), 387–404.

    Article  Google Scholar 

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Correspondence to Susanne Prediger.

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Schnell, S., Prediger, S. From “everything changes” to “for high numbers, it changes just a bit”. ZDM Mathematics Education 44, 825–840 (2012). https://doi.org/10.1007/s11858-012-0434-x

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