Abstract
The goal of this article is threefold: First, the theoretical background for a model-based framework of argumentation to describe and evaluate argumentative processes in science education is presented. Based on the general model-based perspective in cognitive science and the philosophy of science, it is proposed to understand arguments as reasons for the appropriateness of a theoretical model which explains a certain phenomenon. Argumentation is considered to be the process of the critical evaluation of such a model if necessary in relation to alternative models. Secondly, some methodological details are exemplified for the use of a model-based analysis in the concrete classroom context. Third, the application of the approach in comparison with other analytical models will be presented to demonstrate the explicatory power and depth of the model-based perspective. Primarily, the framework of Toulmin to structurally analyse arguments is contrasted with the approach presented here. It will be demonstrated how common methodological and theoretical problems in the context of Toulmin’s framework can be overcome through a model-based perspective. Additionally, a second more complex argumentative sequence will also be analysed according to the invented analytical scheme to give a broader impression of its potential in practical use.
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Albe, V. (2008). Students’ positions and considerations of scientific evidence about a controversial socioscientific issue. Science & Education, 17, 805–827.
Baguley, T., & Payne, S. J. (2000). Long-term memory for spatial and temporal mental models includes construction processes and model structure. The Quarterly Journal of Experimental Psychology, 53A(2), 479–512.
Bricker, L. A., & Bell, P. (2008). Conceptualizations of argumentation from science studies and the learning sciences and their implications for the practices of science education. Science Education, 92, 473–498.
Clement, J. J. (2008). Student/teacher co-construction of visualizable models in large group discussion. In J. J. Clement & M. A. Rea-Ramirez (Eds.), Model based learning and instruction in science. Dordrecht: Springer.
Clement, J. J., & Rea-Ramirez, M. A. (Eds.). (2008). Model based learning and instruction in science. Dordrecht: Springer.
Develaki, M. (2007). The model-based view of scientific theories and the structuring of school science programmes. Science & Education, 16, 725–749.
Driver, R., Newton, P., & Osborne, J. (2000). Establishing the norms of scientific argumentation in classrooms. Science Education, 84, 287–312.
Erduran, S. (2008). Methodological foundations in the study of argumentation in science classrooms. In S. Erduran & M. P. Jiménez-Aleixandre (Eds.), Argumentation in science education. Dordrecht: Springer.
Erduran, S., & Jiménez-Aleixandre, M. P. (2008). Argumentation in science education. Dordrecht: Springer.
Erduran, S., Simon, S., & Osborne, J. (2004). TAPing into argumentation: Developments in the application of Toulmin’s argument pattern for studying science discourse. Science Education, 88, 915–933.
Felton, M., & Kuhn, D. (2001). The development of argumentive discourse skill. Discourse Processes, 32(2&3), 135–153.
Garcia-Mila, M., & Andersen, C. (2008). Cognitive foundations of learning argumentation. In S. Erduran & M. P. Jiménez-Aleixandre (Eds.), Argumentation in science education. Dordrecht: Springer.
Giere, R. (1988). Explaining science: A cognitive approach. Chicago, London: University of Chicago Press.
Giere, R. (1992). The cognitive construction of scientific knowledge. Social Studies of Science, 22, 95–107.
Giere, R. (1999). Science without laws. Chicago, London: University of Chicago Press.
Giere, R. (2001). A new framework for teaching scientific reasoning. Argumentation, 15, 21–33.
Giere, R. (2004). How models are used to represent reality. Philosophy of Science, 71, 742–752.
Giere, R. (2010). An agent-based conception of models and scientific representation. Synthese, 172, 269–281.
Giere, R., Bickle, J., & Mauldin, R. F. (2006). Understanding scientific reasoning. Belmont, Calif (et al.): Thomson Wadsworth.
Gilbert, S. W. (1991). Model building and a definition of science. Journal of Research in Science Teaching, 28(1), 73–79.
Grandy, R. E. (1997). Constructivisms and objectivity: Disentangling metaphysics from pedagogy. Science & Education, 6, 43–53.
Halloun, I. A. (2007). Mediated modelling in science education. Science & Education, 16, 653–697.
Held, C., Knauff, M., & Vosgerau, G. (Eds.). (2006). Mental models and the mind. Amsterdam (et al.): Elsevier.
Hildebrand, D., Bilica, K., & Capps, J. (2008). Addressing controversies in science education: A pragmatic approach to evolution education. Science & Education, 17, 1033–1052.
Hodson, D. (1992). In search of a meaningful relationship: An exploration of some issues relating to integration in science and science education. International Journal of Science Education, 14, 541–562.
Hoyningen-Huene, P. (2008). Systematicity: The nature of science. Philosophia, 36, 167–180.
Izquierdo-Aymerich, M., & Aduriz-Bravo, A. (2003). Epistemological foundations of school science. Science & Education, 12, 27–43.
Jiménez-Aleixandre, M. P., Rodríguez, A. B., & Duschl, R. A. (Eds.) (2000). “Doing the Lesson” or “Doing Science”: Arguments in High School Genetics. Science Education 84, 757–792.
Jiminéz-Aleixandre, M. P., & Erduran, S. (2008). Argumentation in science education. An overview. In S. Erduran & M. P. Jiménez-Aleixandre (Eds.), Argumentation in science education. Dordrecht: Springer.
Johnson-Laird, P. N. (1983). Mental models: Towards a cognitive science of language, inference, and consciousness. Cambridge (et al.): Cambridge University Press.
Johnson-Laird, P. N. (2006). Mental models, sentential reasoning, and illusory inferences. In C. Held, M. Knauff, G. Vosgerau, et al. (Eds.), Mental models and the mind. Amsterdam (et al.): Elsevier.
Johnson-Laird, P. N. (2009). How we reason. Oxford (et al.): Oxford University Press.
Kelly, G. J., & Chen, C. (1999). The sound of music: Constructing science as sociocultural practices through oral written discourse. Journal of Research in Science Teaching, 36, 883–915.
Kelly, G. J., Druker, S., & Chen, C. (1998). Students’ reasoning about electricity: Combining performance assessments with argumentation analysis. International Journal of Science Education, 20(7), 849–871.
Kelly, G. J., & Takao, A. (2002). Epistemic levels in argument: An analysis of University Oceanography students’ use of evidence in writing. Science Education, 86(3), 314–342.
Koponen, I. T. (2007). Models and modelling in physics education: A critical re-analysis of philosophical underpinnings and suggestions for revisions. Science & Education, 16, 751–773.
Koslowski, B. (1996). Theory and evidence: The development of scientific reasoning. Cambridge, MA: MIT Press.
Kuhn, D. (1993). Science as argument: Implications for teaching and learning scientific thinking. Science Education, 77(3), 219–337.
Kuhn, D. (2000). Metacognitive development. Current Directions in Psychological Science, 9(5), 178–181.
Kuhn, D. (2001). How do people know? Psychological Science, 12(1), 1–8.
Kuhn, D., & Dean, D. Jr. (2004). Metacognition: A bridge between cognitive psychology and educational practice. Theory into Practice, 43(4), 268–273.
Kuhn, D., & Franklin, S. (2006). The second decade: What develops (and How). In W. Damon, et al. (Eds.), Handbook of child psychology 2–Cognition, perception and language. Hoboken, New Jersey: Wiley.
Kuhn, D., & Pearsall, S. (1998). Relations between Metastrategic knowledge and strategic claims. Cognitive Development, 13, 227–247.
Kuhn, D., Shaw, V., & Felton, M. (1997). Effects of dyadic interaction on argumentative reasoning. Cognition and Instruction, 15(3), 287–315.
Kuhn, D., & Udell, W. (2003). The development of argument skills. Child Development, 74(5), 1245–1260.
Kuhn, D., & Udell, W. (2007). Coordinating own and other perspectives in argument. Thinking & Reasoning, 13(2), 90–104.
Kuhn, D. (1991). The skills of argument. Cambridge (et al.): Cambridge University Press.
Kuhn, D. (2005). Education for thinking. Cambridge (et al.): Harvard University Press.
Lawson, A. (2003). The nature and development of hypothetico-predictive argumentation with implications for science teaching. International Journal of Science Education, 25(11), 1387–1408.
Matthews, M. R. (1997). Introductory comments on philosophy and constructivism in science education. Science & Education, 6, 5–14.
Matthews, M. R. (2007). Models in science and in science education: An introduction. Science & Education, 16, 647–652.
Meisert, A. (2008). Vom Modellwissen zum Modellverständnis–Elemente einer umfassenden Modellkompetenz und deren Fundierung durch lernerseitige Kriterien zur Klassifikation von Modellen. ZfDN, 243–261.
Metzinger, T. (2003). Being no one: The self-model theory of subjectivity. Cambridge (et al.): MIT 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. Cambridge: Cambridge University Press.
Nersessian, N. J. (2008a). Creating scientific concepts. Cambridge (et al.): MIT Press.
Nersessian, N. J. (2008b). Mental modelling in conceptual change. In S. Vosniadou (Ed.), International handbook of research on conceptual change. New York: Routledge.
Núñez Oviedo, M. C. & Clement, J. (2003). Model competition: A strategy based on model based teaching and learning theory. Proceedings of NARST, Philadelphia, PA, March 23–26, http://www-unix.oit.umass.edu/~clement/pdf/model_competition.pdf (06–10–2010).
Osborne, J., Erduran, S., & Simon, S. (2004). Enhancing the quality of argumentation in school science. Journal of Research in Science Teaching, 41(10), 994–1020.
Patronis, T. (1999). Students’ argumentation in decision-making on a socio-scientific issue: Implications for teaching. International Journal of Science Education, 21(7), 745–754.
Portides, D. P. (2007). The relation between idealisation and approximation in scientific model construction. Science & Education, 16, 699–724.
Rea-Ramirez, M. A., Clement, J., & Núñez-Oviedo, M. C. (2008). An instructional model derived from model construction and criticism theory. In J. J. Clement & M. A. Rea-Ramírez (Eds.), Model based learning and instruction in science. Dordrecht: Springer.
Sadler, T. D., & Donelly, L. A. (2006). Socioscientific argumentation: The effects of content knowledge and morality. International Journal of Science Education, 28(12), 1463–1488.
Sadler, T. D., & Zeidler, D. L. (2005). Patterns of informal reasoning in the context of socioscientific decision making. Journal of Research in Science Teaching, 42(1), 112–138.
Sampson, V., & Clark, D. B. (2008). Assessment of the ways students generate arguments in science education: Current perspectives and recommendations for future directions. Science Education, 92, 447–472.
Schaeken, W., Vandierendonck, A., Schroyens, W., & d’Ydewalle, G. (2007). The mental models theory of reasoning. Mahwah, New Jersey: Lawrence Erlbaum Associates.
Seel, N. M. (2006). Mental models in learning situations. In C. Held, M. Knauff, & G. Vosgerau (Eds.), Mental models and the mind. Amsterdam (et al.): Elsevier.
Silva, C. C. (2007). The role of models and analogies in the electromagnetic theory: A historical case study. Science & Education, 16, 835–848.
Simon, S., Erduran, S., & Osborne, J. (2006). Learning to teach argumentation: Research and development in the science classroom. International Journal of Science Education, 28(2–3), 235–260.
Suppe, F. (1989). The semantic conception of theories and scientific realism. Urbana and Chicago: University of Illinois Press.
Suppe, F. (2000). Understanding scientific theories: An assessment of developments 1969–1998. Philosophy of Science, 67, 102–115.
Tamayo, A. O., & Sanmartí, N. (2007). High-school students’ conceptual evolution of the respiration concept from the perspective of Giere’s cognitive science model. International Journal of Science Education, 29(2), 215–248.
Toulmin, S. E. (1958). The uses of argument. Cambridge: Cambridge University Press.
Toulmin, S. E. (2003). The uses of argument. Cambridge (et al.): Cambridge University Press.
van Eemeren, F. H., & Grootendorst, R. (2004). A systematic theory of argumentation. The pragma-dialectical approach. Cambridge (et al.): Cambridge University Press.
van Fraassen, B. (1980a). The scientific image. Oxford: Oxford University Press.
van Fraassen, B. (1980b). Theory construction and experiment: An empiricist view. Proceedings of the Philosophy of Science Association, 2, 663–677.
von Aufschnaiter, C., Erduran, S., Osborne, J., & Simon, S. (2008). Arguing to learn and learning to argue: Case studies of How Students’ argumentation relates to their scientific knowledge. Journal of Research in Science Teaching, 45(1), 101–131.
Voss, J. F., & van Dyke, J. A. (2001). Argumentation in psychology: Background comments. Discourse Processes, 32(2&3), 89–111.
Walton, D. N. (1996). Argumentation schemes for presumptive reasoning. Mahwah, NJ: Erlbaum.
Zohar, A., & Nemet, F. (2002). Fostering students’ knowledge and argumentation skills through dilemmas in human genetics. Journal of Research in Science Teaching, 39(1), 35–62.
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This work has been supported by the Hans Mühlenhoff Foundation (Osnabrück, Germany) and the FAZIT Foundation (Frankfurt on the Main, Germany).
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Böttcher, F., Meisert, A. Argumentation in Science Education: A Model-based Framework. Sci & Educ 20, 103–140 (2011). https://doi.org/10.1007/s11191-010-9304-5
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DOI: https://doi.org/10.1007/s11191-010-9304-5