Skip to main content

Analysis of Representations in Model-Based Teaching and Learning in Science

  • Conference paper
Visual Representations and Interpretations

Abstract

Drawing on our research in science education, we illustrate a method for analysing representations in terms of content, semiotic challenges of particular representations, and the impact of the interface on learning.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Gilbert, J.K. The role of models and modelling in some narratives of science learning. Paper presented at the annual meeting of the American Educational Research Association, San Francisco, 1995

    Google Scholar 

  2. Boulter, C.J. Language, models and modelling in primary science classroom. In: Exploring models and modelling in science and technology education. J.K. Gilbert, Editor. Faculty of Education and Community Studies, The University of Reading, Reading, 1997, pp 180–200

    Google Scholar 

  3. Boulter, C. Collaborating to investigate questions: A model for primary science. PhD thesis, University of Reading, 1992

    Google Scholar 

  4. Buckley, B.C. Multimedia, misconceptions and working models of biological phenomena: Learning about the circulatory system. PhD thesis, Stanford University, 1992

    Google Scholar 

  5. Goldsmith, E. Research into illustration, Cambridge University Press, Cambridge, 1984

    Google Scholar 

  6. Johnson-Laird, P.N. Mental models, Harvard University Press, Cambridge, MA, 1983

    Google Scholar 

  7. Stewart, J. and B. Hafner, Extending the conception of problem solving. Science Education 1991; 75(1):105–120

    Article  Google Scholar 

  8. Vosniadou, S. and W.F. Brewer, Mental models of the earth: A study of conceptual change in childhood. Cognitive Psychology 1992; 24(4):535–585

    Article  Google Scholar 

  9. Clement, J. Learning via model construction and criticism: Protocol evidence on sources of creativity in science. in Handbook of creativity: Assessment, theory and research. J.A. Glover, R.R. Ronning, and C.R. Reynolds, Editors. Plenum Press, New York, 1989, pp 341–381

    Chapter  Google Scholar 

  10. White, B.Y. and J.R. Frederiksen, Causal model progressions as a foundation for intelligent learning environments. Artificial Intelligence 1990; 42(1):99157

    Article  Google Scholar 

  11. Chan, C.K.K., et al., Constructive activity in learning from text. American Educational Research Journal 1992; 29(1):97–118

    Article  Google Scholar 

  12. Giere, R.N. Explaining science, University of Chicago Press, Chicago, 1990

    Google Scholar 

  13. Buckley, B.C., C.J. Boulter, and J.K. Gilbert Towards a typology of models for science education. In: Exploring models and modelling in science and technology education. J.K. Gilbert, Editor. Faculty of Education and Community Studies, The University of Reading, Reading, 1997, pp 90–105

    Google Scholar 

  14. Buckley, B.C. and C.J. Boulter. Taking models apart: Towards a framework for analyzing representations in teaching and learning science. Paper presented at European Science Education Research Association, Rome, Italy, 1997

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer-Verlag London

About this paper

Cite this paper

Buckley, B.C., Boulter, C.J. (1999). Analysis of Representations in Model-Based Teaching and Learning in Science. In: Paton, R., Neilson, I. (eds) Visual Representations and Interpretations. Springer, London. https://doi.org/10.1007/978-1-4471-0563-3_32

Download citation

  • DOI: https://doi.org/10.1007/978-1-4471-0563-3_32

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-082-8

  • Online ISBN: 978-1-4471-0563-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics