Skip to main content

What Kind of Explanation is a Model?

  • Chapter
  • First Online:
Instructional Explanations in the Disciplines

Abstract

We describe modeling as a form of explanation that is particular to science and, based on a research program conducted over the last 15 years, identify the conceptual resources and practices that must be developed for school students to become initiated into this kind of reasoning. We point out that modeling is difficult for novices to grasp but is treated by school science as self-evident, which may account for the fact that it is widely misunderstood by learners and educators alike. We close by considering components of instruction, especially classroom norms and tasks, that best support the long-term development of modeling.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Bazerman, C. (1988). Shaping written knowledge. Madison, WI: University of Wisconsin Press.

    Google Scholar 

  • Driver, R., Leach, J., Millar, R., & Scott, P. (1995). Young people’s images of science. Buckingham, England: Open University Press.

    Google Scholar 

  • Gierre, R. N. (1988). Explaining science: A cognitive approach. Chicago: University of Chicago Press.

    Google Scholar 

  • Hestenes, D. (1992). Modeling games in the Newtonian world. American Journal of Physics, 60(8), 732–748.

    Article  Google Scholar 

  • Kline, M. (1980). Mathematics: The loss of certainty. Oxford: Oxford University Press.

    Google Scholar 

  • Kuhn, D., (1989). Children and adults as intuitive scientists. Psychological Review, 96. 674–689.

    Article  Google Scholar 

  • Latour, B. (1990). Drawing things together. In M. Lynch and S. Woolgar (Eds.), Representation in scientific practice (pp. 19–68). Cambridge, MA: MIT Press.

    Google Scholar 

  • Latour, B. (1999). Pandora’s hope: Essays on the reality of science studies. London: Cambridge University Press.

    Google Scholar 

  • Lehrer, R., Schauble, L., Carpenter, S., & Penner, D. (2000). The inter-related development of inscriptions and conceptual understanding. In P. Cobb, E. Yackel, and K. McClain (Eds.). Symbolizing and communicating in mathematics classrooms: Perspectives on discourse, tools, and instructional design (pp. 325–360). Mahwah, NJ: Lawrence Erlbaum Associates.Lehrer, R., Schauble, L., Strom, D., & Pligge, M. (2001). Similarity of form and substance: From inscriptions to models. In S. M. Carver, & D. Klahr (Eds.), Cognition and instruction: Twenty-five years of progress (pp. 39–74). Mahwah, NJ: Erlbaum.Lehrer, R., & Schauble, L. (2006). Scientific thinking and science literacy. In W. Damon, R. Lerner, K. A. Renninger, & I. E. Sigel (Eds.), Handbook of child psychology, 6th Edition, Volume 4: Child psychology in practice (pp. 153–196). Hoboken, NJ: John Wiley and Sons.Lehrer, R., & Schauble, L. (2007). Contrasting emerging conceptions of distribution in contexts of error and natural variation. In M. Lovett, & P. Shah (Eds.). Thinking with data (pp. 149–176). Mahwah, NJ: Lawrence Erlbaum Associates.Lehrer, R., Schauble, L., & Lucas, D. (2008). Supporting development of the epistemology of inquiry. Cognitive Development, 23(4), 512–529.

    Google Scholar 

  • Lesh, R., & Doerr, H. M. (2003). Foundations of a models and modeling perspective on mathematics teaching, learning, and problem solving. In R. Lesh and H. M. Doerr (Eds.), Beyond constructivism: Models and modeling perspectives on mathematics problem solving, learning, and teaching. Mahwah, NJ: Lawrence Erlbaum Associates.

    Google Scholar 

  • Lucas, D., Broderick, N., Lehrer, R., & Bohanan, R. (2005). Making the grounds of scientific inquiry visible in the classroom. Science Scope 29: 39–42.

    Google Scholar 

  • National Research Council (1996). National science education standards. Washington, DC: National Academy Press.

    Google Scholar 

  • Nersessian, N. (2008). Model-based reasoning in scientific practice. In R. A. Duschl and R. E. Grandy (Eds.), Teaching scientific inquiry: Recommendations for research and implementation (pp. 57–79). Rotterdam, The Netherlands: Sense Publishers.

    Google Scholar 

  • Olson, D. R. (1994). The world on paper. Cambridge: Cambridge University Press.

    Google Scholar 

  • Palinscar, A. S., & Magnusson, S.J. (2001). The interplay of first-hand and text-based investigations to model and support the development of scientific knowledge and reasoning. In S. Carver & D. Klahr (Eds.), Cognition and instruction: Twenty-five years of progress (pp. 151–194). Mahwah, NJ: Lawrence Erlbaum Associates.

    Google Scholar 

  • Penner, D., Giles, N., Lehrer, R., & Schauble, L. (1997). Building functional models: Designing an elbow. Journal of Research in Science Teaching, 34(2), 125–143.

    Article  Google Scholar 

  • Pickering, A. (1995). The mangle of practice: Time, agency, and science. Chicago: University of Chicago Press.

    Google Scholar 

  • Windschtl, M., & Thompson, J. (2006). Transcending simple forms of school science investigation: Can pre-service instruction foster teachers’ understandings of model-based inquiry? American Educational Research Journal, 43(4), 783–835.

    Article  Google Scholar 

  • Windschtl, M., Thompson, J., & Braaten, M. (2007). How novice science teachers appropriate epistemic discourses around model-based inquiry for use in classrooms. Cognition and Instruction, 26(3): 310–378.

    Article  Google Scholar 

Download references

Acknowledgment

This chapter is based upon work supported by the National Science Foundation under Grant No. 0628253. Any opinions, findings, and conclusions o recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Richard Lehrer .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

Lehrer, R., Schauble, L. (2010). What Kind of Explanation is a Model?. In: Stein, M., Kucan, L. (eds) Instructional Explanations in the Disciplines. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-0594-9_2

Download citation

Publish with us

Policies and ethics