2,130
Views
34
CrossRef citations to date
0
Altmetric
Articles

Exploring students’ epistemological knowledge of models and modelling in science: results from a teaching/learning experience on climate change

, &
Pages 539-563 | Received 25 May 2015, Accepted 27 Jan 2016, Published online: 16 Mar 2016

References

  • Barab, S. A., Hay, K. E., Barnett, M., & Keating, T. (2000). Virtual solar system project: Building understanding through model building. Journal of Research in Science Teaching, 37(7), 719–756.
  • Besson, U. (2009). Paradoxes of thermal radiation, European Journal of Physics, 30, 995–1007.
  • Besson, U., De Ambrosis, A., & Mascheretti, P. (2010). Studying the physical basis of global warming: thermal effects of the interaction between radiation and matter and greenhouse effect. European Journal of Physics, 31(2), 375–388.
  • Carey, S., & Smith, C. L. (1993). On understanding the nature of scientific knowledge. Educational Psychologist, 28(3), 235–251.
  • Denzin, N. K., & Lincoln, Y. S. (Eds.). (2000). Handbook of qualitative research (2nd ed.). Thousand Oaks, CA: Sage.
  • Dillon, J. (2012). Science, the environment and education beyond the classroom. In Barry J. Fraser, Kenneth Tobin, & Campbell J. McRobbie (Eds.), Second international handbook of science education (pp. 1081–1095). The Netherlands: Springer.
  • Dillon, J., & Scott, W. (2002). Perspectives on environmental education-related research in science education. International Journal of Science Education, 24, 1111–1117.
  • Etkina, E., Warren, A., & Gentile, M. (2005). The role of models in physics instruction. The Physics Teacher, 44(1), 15–20.
  • Fazio, C., Battaglia, O. R., & Di Paola, B. (2013). Investigating the quality of mental models deployed by undergraduate engineering students in creating explanations: The case of thermally activated phenomena. Physical Review Special Topics – Physics Education Research, 9(2), 020101, 1–21.
  • Giere, R. N. (2004). How models are used to represent reality. Philosophy of Science, 71(5), 742–752.
  • Gilbert, J. K. (1995). The role of models and modelling in some narratives of science education learning. Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA.
  • Gilbert, J. K. (2004). Models and modelling: Routes to more authentic science education. International Journal of Science and Mathematics Education, 2(2), 115–130.
  • Gilbert, S. W. (1991). Model building and a definition of science. Journal of Research in Science Teaching, 28(1), 73–79.
  • Godfrey-Smith, P. (2006). The strategy of model-based science. Biology and Philosophy, 21(5), 725–740.
  • Greca, I. M., & Moreira, M. A. (2000). Mental models, conceptual models, and modelling. International Journal of Science Education, 22(1), 1–11.
  • Grosslight, L., Unger, C., Jay, E., & Smith, C. L. (1991). Understanding models and their use in science: Conceptions of middle and high school students and experts. Journal of Research in Science Teaching, 28(9), 799–822.
  • Harrison, A. G., & Treagust, D. F. (2000). Learning about atoms, molecules and chemical bonds: A case study of multiple-model use in grade 11 chemistry. Science Education, 84(3), 352–381.
  • Hestenes, D. (1992). Modelling games in the Newtonian world. American Journal of Physics, 60(8), 732–748.
  • Horizon. (2020). http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=COM:2011:0811:FIN:en:PDF.
  • IPCC. (2007). Climate change: Synthesis Report.
  • IPCC. (2014). Climate change: Synthesis Report.
  • Justi, R. S., & Gilbert, J. K. (2002). Science teachers’ knowledge about and attitudes towards the use of models and modelling in learning science. International Journal of Science Education, 24(12), 1273–1292.
  • Koponen, I. T. (2007). Models and modelling in physics education: A critical re-analysis of philosophical underpinnings and suggestions for revisions. Science & Education, 16(7–8), 751–773.
  • Lakatos, I. (1971). History of science and its rational reconstructions. In Roger C. Buck, & Robert S. Cohen (Eds.), PSA (1970), Boston studies in the philosophy of science (vol. 8) (pp. 91–108). Dordrecht: D. Reidel.
  • Lakoff, G., & Johnson, M. (1980). Metaphors we live by. Chicago: University of Chicago Press.
  • Lebart, L., Salem, A., & Berry, J. (1998). Exploring textual data. Dordrecht: Kluwer Academic.
  • Leiserowitz, A. (2006). Climate change risk perception and policy preferences: The role of affect, imagery, and values. Climatic Change, 77(1–2), 45–72.
  • Levrini, O., Bertozzi, E., Gagliardi, M., Grimellini-Tomasini, N., Pecori, B., Tasquier, G., & Galili, I. (2014a). Meeting the discipline-culture framework of physics knowledge: An experiment in Italian secondary school. Science & Education, 23(9), 1701–1731.
  • Levrini, O., & Fantini, P. (2013). Encountering productive forms of complexity in learning modern physics. Science & Education, 22(8), 1895–1910.
  • Levrini, O., Fantini, P., Pecori, B., & Tasquier, G. (2014b). Forms of productive complexity as criteria for educational reconstruction: The design of a teaching proposal on thermodynamics.  Procedia – Social and Behavioral Sciences, 116, 1483–1490.
  • Levrini, O., Fantini, P., Pecori, B., Tasquier, G., & Levin, M. (2014c). Defining and operationalizing ‘appropriation’ for science learning. Journal of the Learning Sciences, 24(1), 93–136.
  • Lorenzoni, I., Nicholson-Cole, S., & Whitmarsh, L. (2007). Barriers perceived to engaging with climate change among the UK public and their policy implications. Global Environmental Change, 17(3–4), 445–459.
  • Mendonça, P. C., & Justi, R. (2013). The relationships between modelling and argumentation from the perspective of the model of modelling diagram. International Journal of Science Education, 35(14), 2407–2434.
  • Millar, R., & Osborne, J. (Eds.). (1998). Beyond 2000: Science education for the future. London: King's College.
  • National Research Council. (1996). National science education standards. Washington, DC: National Academy Press.
  • Nersessian, N. J. (2002). The cognitive basis of model-based reasoning in science. In P. Carruthers, S. Stich, & M. Siegal (Eds.), The cognitive basis of science (pp. 133–153). Cambridge: Cambridge University Press.
  • Niebert, K., & Gropengiesser, H. (2012). Understanding and communicating climate change in metaphors. Environmental Education Research, 19(3), 1–21.
  • Oppenheimer, M., & Todorow, A. (2006). Global warming: The psychology of long-term risk. Climatic Change, 77(1–2), 1–6.
  • Osborne, J., & Dillon, J. (eds) (2008). Science education in Europe: Critical reflections.
  • Pasini, A. (2003). I cambiamenti climatici. Meteorologia e clima simulato [Climate change. Meteorology and simulated clima]. Milano, IT: Bruno Mondadori press.
  • Pluta, W. J., Chinn, C. A., & Duncan, R. G. (2011). Learners’ epistemic criteria for good scientific models. Journal of Research in Science Teaching, 48(5), 486–511.
  • Pongiglione, F. (2012). The key role of causal explanation in the climate change issue. Theoria – An International Journal of Philosophy of Science, 27(74), 175–188.
  • Rocard, M., Csermely, P., Jorde, D., Lenzen, D., Walberg-Henriksson, H., & Hemmo, V. (2007). Science education now: A renewed pedagogy for the future of Europe. European Commission EU 22845, 29 pp.
  • Rozier, S., & Viennot, L. (1991). Students’ reasoning in thermodynamics. International Journal of Science Education, 13(2), 159–170.
  • Schwarz, C., & White, B. (2005). Meta-modelling knowledge: Developing students’ understanding of scientific modelling. Cognition and Instruction, 23(2), 165–205.
  • diSessa, A. A. (2014). The construction of causal schemes: learning mechanisms at the knowledge level. Cognitive Science, 38(5), 795–850.
  • Svihla, V., & Linn, M. C. (2011). A design-based approach to fostering understanding of global climate change. International Journal of Science Education, 34(5), 651–676.
  • Tasquier, G. (2013). Cambiamenti Climatici e Insegnamento/Apprendimento della Fsica: una Proposta Didattica [Climate change and teaching/learning physics: A teaching proposal]. Giornale di Fisica, 54(3), 173–193.
  • Tasquier, G. (2014). A multi-disciplinary approach to climate change. In C. P. Constantinou, N. Papadouris, & A. Hadjigeorgiou (Eds.), E-Book proceedings of the ESERA 2013 conference: Science education research for evidence-based teaching and coherence in learning. Part 9 (co-eds. Garvalho, G. & Mortensen Foss, M.), pp. 64–75. Nicosia, Cyprus: European Science Education Research Association.
  • Tasquier, G. (2015a). How does epistemological knowledge on modelling influence students’ engagement in the issue of climate change? Il Nuovo Cimento, 38 C (2015) 112.
  • Tasquier, G. (2015b). Leading secondary school students to face the disciplinary, epistemological and societal challenges of climate change: Design and analysis of multi-dimensional teaching/learning experiences (Phd Thesis). History and Education of Mathematics, Physics and Chemistry, University of Palermo.
  • Tasquier, G., Pecori, B., Levrini, O., Pongiglione, F., & Venturi, M. (2011, November 21–23). The challenge of contemporary society on science education: the case of global warming. Proceedings Twelfth International Symposium, Frontiers of Fundamentals Physics (FFP12), Udine.
  • Tasquier, G., Pongiglione, F., & Levrini, O. (2014). Climate change: An educational proposal integrating the physical and social sciences. Procedia - Social and Behavioral Sciences, 116, 820–825.
  • Treagust, D., Chittleborough, G., & Mamiala, T. (2002). Students’ understanding of the role of scientific models in learning science. International Journal of Science Education, 24(4), 357–368.
  • Van Driel, J. H., & Verloop, N. (1999). Teachers’ knowledge of models and modelling in science. International Journal of Science Education, 21(11), 1141–1153.
  • Viennot, L. (2014). Thinking in physics: The pleasure of reasoning and understanding. Springer: Netherlands.
  • Weintrobe, S. (2012). Engaging with climate change: Psychoanalytic and interdisciplinary perspectives. East Sussex: Routledge.
  • White, B. Y. (1993). ThinkerTools: Causal models, conceptual change, and science education. Cognition and Instruction, 10(1), 1–100.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.