A Germ for Young European Scientists: Drawing-Based Modelling

Chapter
Part of the Gaming Media and Social Effects book series (GMSE)

Abstract

An important movement in European science education is that learning should be inquiry-based and represents realistic scientific practice. The inquiry-based nature of science education is essential to interest more young people for a career in science and technology. Creating models is broadly seen as an essential part of those scientific practices. Dynamic models play a central role in science as a main vehicle to express and evaluate our understanding of complex systems. Therefore, the ability to reason with and about models and to create models of dynamic systems is an important higher order thinking skill and as a means to foster the development of scientific attitudes. In teaching children how to model, the choice for model representation is important. Representations can vary from mathematical formula, programming languages and diagrammatic representations. This chapter will present modelling based on drawings, and the SimSketch software with which children can create dynamic, multi-agent models. By representing systems in drawings, assigning behaviour to elements of the drawing and simulate the resulting model, children can express and test their ideas about natural and artificial systems. The chapter discusses conceptual and technical issues related to SimSketch as well as studies in which children have used SimSketch to represent systems such as the solar system, traffic and the spreading of diseases. The role of this approach will be discussed in the context of developments in European educational research.

Keywords

Simulations Modeling Inquiry learning Scientific literacy 

References

  1. 1.
    Boerwinkel, D.J., Veugelers, W., Waarlo, A.J.: Burgerschapsvorming, duurzaamheid en natuurwetenschappelijk onderwijs [Citizenship education, sustainability and science education]. Pedagogiek 29, 155–172 (2009)Google Scholar
  2. 2.
    Hodson, D.: Time for action: science education for an alternative future. Int. J. Sci. Educ. 25(6), 645–670 (2010). doi:10.1080/09500690305021
  3. 3.
    Osborne, J., Dillon, J.: Science Education in Europe: Critical Reflections, vol. 13. The Nuffield Foundation, London (2008)Google Scholar
  4. 4.
    Bonner, J.F.: Creativity in science. Eng. Sci. XXII, 13–17 (1959)Google Scholar
  5. 5.
    Ogborn, J., Wong, D.: A microcomputer dynamical modelling system. Phys. Educ. 19, 138–142 (1984)CrossRefGoogle Scholar
  6. 6.
    Louca, L.T., Zacharia, Z.C.: Modelling-based learning in science education: cognitive, metacognitive, social, material and epistemological contributions. Educ. Rev. 64, 1–22 (2011). doi:10.1080/00131911.2011.628748
  7. 7.
    Löhner, S., van Joolingen, W., Savelsbergh, E.R., van Hout-Wolters, B.: Student’s reasoning during modelling in an inquiry learning environment. Comput. Human Behav. 21(3), 441–461 (2005). doi:10.1016/j.chb.2004.10.037
  8. 8.
    Quintana, C., Reiser, B.J., Davis, E.A., Krajcik, J., Fretz, E., Duncan, R.G., et al.: A scaffolding design framework for software to support science inquiry. J. Learn. Sci. 13(3), 337–386 (2004). doi:10.1207/s15327809jls1303_4
  9. 9.
    Windschitl, M., Thompson, J., Braaten, M.: Beyond the scientific method: model-based inquiry as a new paradigm of preference for school science investigations. Sci. Educ. 92(5), 941–967 (2008). doi:10.1002/sce.20259
  10. 10.
    Giere, R.N.: Science Without Laws. University of Chicago Press, Chicago (1999)Google Scholar
  11. 11.
    Steed, M.: Stella, a simulation construction kit: cognitive process and educational implications. J. Comput. Math. Sci. Teach. 11(1), 39–52 (1992)Google Scholar
  12. 12.
    Jacobson, M.J., Wilensky, U.: Complex systems in education: scientific and educational importance and implications for the learning sciences. J. Learn. Sci. 15(1), 11–34 (2006). doi:10.1207/s15327809jls1501_4
  13. 13.
    Wilensky, U., Reisman, K.: Thinking like a wolf, a sheep, or a firefly: learning biology through constructing and testing computational theories—an embodied modelling approach. Cogn. Instruct. 24(2), 171–209 (2006)CrossRefGoogle Scholar
  14. 14.
    Stagecast Software Inc.: Stagecast creator. Retrieved 15 July 2005, from www.stagecast.com (1997)
  15. 15.
    Krajcik, J.S., Sutherland, L.M.: Supporting students in developing literacy in science. Science 328(5977), 456–459 (2010)CrossRefGoogle Scholar
  16. 16.
    Lemke, J.L.: The literacies of science. In: Saul, E.W. (ed.) Crossing Borders in Literacy and Science Instruction: Perspectives on Theory and Practice, pp. 33–47. International Reading Association, Newark (2004)Google Scholar
  17. 17.
    Tversky, B.: Visualizing thought. Topics Cogn. Sci. 3(3), 499–535 (2011). doi:10.1111/j.1756-8765.2010.01113.x
  18. 18.
    van Joolingen, W., Bollen, L., Leenaars, F., Kenbeek, W.K.: Interactive drawing tools to support modelling of dynamic systems. In: Gomez, K., Lyons, L., Radinsky, J. (eds.) Presented at the 9th International Conference of the Learning Sciences, vol. 2, pp. 184–185. International Society of the Learning Sciences (ISLS), Chicago (2010)Google Scholar
  19. 19.
    Bollen, L., van Joolingen, W.: SimSketch: multi-agent simulations based on learner-created sketches for early science education. IEEE Trans. Learn. Technol. 6(3), 208–216 (2013). doi:10.1109/TLT.2013.9
  20. 20.
    Mandinach, E.B., Cline, H.F.: Classroom dynamics: the impact of a technology-based curriculum innovation on teaching and learning. J. Educ. Comput. Res. 14(1), 83–102 (1996)CrossRefGoogle Scholar
  21. 21.
    van Joolingen, W., de Jong, T., Lazonder, A.W., Savelsbergh, E.R., Manlove, S.: Co-lab: research and development of an online learning environment for collaborative scientific discovery learning. Comput. Human Behav. 21(4), 671–688 (2005). doi:10.1016/j.chb.2004.10.039
  22. 22.
    van Joolingen, W., Aukes, A.V.A., Gijlers, H., Bollen, L.: Understanding elementary astronomy by making drawing-based models. J. Sci. Educ. Technol. 1–9 (2014). doi:10.1007/s10956-014-9540-6
  23. 23.
    Vosniadou, S., Skopeliti, I., Ikospentaki, K.: Reconsidering the role of artifacts in reasoning: children’s understanding of the globe as a model of the earth. Learn, Instruct. 15(4), 333–351 (2005). doi:10.1016/j.learninstruc.2005.07.004
  24. 24.
    van Aalderen-Smeets, S., Walma van der Molen, J.: Measuring primary teachers’ attitudes toward teaching science: development of the dimensions of attitude toward science (DAS) instrument. Int. J. Sci. Educ. 35(4), 577–600 (2013). doi:10.1080/09500693.2012.755576

Copyright information

© Springer Science+Business Media Singapore 2017

Authors and Affiliations

  1. 1.Freudenthal Institute for Science and Mathematics EducationUtrecht UniversityUtrechtThe Netherlands

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