Skip to main content

Representation in the Transition from Novice to Expert Architect

  • Chapter
Transfer, Transitions and Transformations of Learning

Part of the book series: International Technology Education Studies ((ITES))

Abstract

This chapter draws on a study of the transition from competence to expertise in architectural design to examine key features of the process and how they are represented. The approach taken is based in cognitive psychology and, in particular, the psychology of problem solving. The study is useful for the purposes of this book given there is evidence that the work of designers (in this case architects) displays evidence of near and far transfer, and of creativity.

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 49.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

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.

References

  • Akin, O., & Lin, C. (1995). Design protocol data and novel design decisions. Design Studies, 16(2), 211-236.

    Article  Google Scholar 

  • Anderson, J. R. (1993). Problem solving and learning. American Psychologist, 48(1), 35-44.

    Article  Google Scholar 

  • Chan, C. S. (1990). Cognitive processes in architectural design problem solving. Design Studies, 11(2), 60-80.

    Article  Google Scholar 

  • Clancy, W. J. (1986). Qualitative student models. Annual Review of Computer Science, 1, 381-450.

    Article  Google Scholar 

  • Cresswell, J. W. (2012). Educational research: Planning, conducting, and evaluating quantitative and qualitative research (4th ed.). New Jersey: Pearson Educational International.

    Google Scholar 

  • Dorst, K., & Reymen, I. (2004). Levels of expertise in design education. In Proceedings of the International Engineering and Product Design Education Conference (pp. 1–7). Delft, The Netherlands.

    Google Scholar 

  • Dreyfus, H. L., & Dreyfus, S. E. (1986). Mind over machine: The power of human intuition and expertise in the era of the computer. New York: The Free Press.

    Google Scholar 

  • Dreyfus, H. L. (2003). Can there be a better source of meaning than everyday practice? Unpublished lecture notes of the second Spinoza Lecture at the University of Amsterdam.

    Google Scholar 

  • Ericsson, K. A., & Simon, H. A. (1993). Protocol analysis: Verbal reports as data. Cambridge, MA: MIT Press.

    Google Scholar 

  • Finke, R. A. (1989). Principles of mental imagery. Cambridge, MA: MIT Press.

    Google Scholar 

  • Finke, R. A., Ward, T. B., & Smith, S. M. (1992). Creative cognition. MA: MIT Press.

    Google Scholar 

  • Gott, S. (1989). Apprenticeship instruction for real-world tasks: The coordination of procedures, mental models and strategies. Review of Research in Education, 15, 97-169.

    Google Scholar 

  • Gott, S., Hall, P., Pokorny, A., Dibble, E., & Glaser, R. (1992) A naturalistic study of transfer: Adaptive expertise in technical domains. In D. Detterman & R. Sternberg (Eds.), Transfer on trial: Intelligence, cognition, and instruction (pp. 258-288). Norwood, NJ: Ablex.

    Google Scholar 

  • Gross, M., & Fleisher, A. (1984). Design as the exploration of constraints. Design Studies, 5(3), 137-138.

    Article  Google Scholar 

  • Kosslyn, S. M. (1990). Mental imagery. In C. Cornoldi & M. A. McDaniel (Eds.), Imagery and cognition. New York: Springer Verlag.

    Google Scholar 

  • Kotovsky, K., & Fallside, D. (1989). Representation and transfer in problem solving. In D. Klahr & K. Kotovsky (Eds.), Complex information processing: The impact of Herbert Simon. Hillsdale, New Jersey: Lawrence Erlbaum.

    Google Scholar 

  • Lajoie, S. P. (2003). Transitions and trajectories for studies of expertise. Educational Researcher, 32(8), 21-25.

    Article  Google Scholar 

  • Lajoie, S. P., Azevedo, R., & Fleiszer, D. (1998). Cognitive tools for assessment and learning in a high information flow environment. Journal of Educational Computing Research, 18(3), 205-235.

    Article  Google Scholar 

  • Larkin, J. H., & Simon, H. A. (1987). Why a diagram is (sometimes) worth ten thousand words. Cognitive Science, 11, 65-99.

    Article  Google Scholar 

  • Lesgold, A., Lajoie, S. P., Logan, D., & Eggan, G. M. (1990). Cognitive task analysis approaches to testing. In N. Frederiksen, R. Glaser, A. Lesgold, & M. Shafto (Eds.), Diagnostic monitoring of skill and knowledge acquisition (pp. 325-350). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Lloyd, P., & Scott, P. (1994). Discovering the design problem. Design Studies, 15(2), 125-140.

    Article  Google Scholar 

  • Middleton, H. E. (2002). Complex problem solving in a workplace setting, International Journal of Educational Research, 37, 67-84.

    Article  Google Scholar 

  • Newell, A., & Simon, H. A. (1972). Human problem solving. Englewood Cliffs, NJ: Prentice-Hall.

    Google Scholar 

  • Patel, V., & Groen, G. J. (1991). The general and specific nature of medical expertise: A critical look. In K. A. Ericsson & J. Smith (Eds.), Towards a general theory of expertise: Prospects and limits. Cambridge: Cambridge University Press.

    Google Scholar 

  • Perez, R. S. (1991). A view from trouble-shooting. In M. V. Smith (Ed.), Towards a unified theory of problem solving. Hillsdale, NJ: Lawrence Erlbaum

    Google Scholar 

  • Perkins, D. (1990). Problem theory. In V. A. Howard (Ed.), Varieties of thinking: Essays from Harvard’s philosophy of education research centre. New York: Routledge.

    Google Scholar 

  • Scandura, J. M. (1981). Problem solving in schools and beyond: Transition from the naive to the neophyte to the master. Educational Psychologist, 16(3), 139-150.

    Article  Google Scholar 

  • Simon, H. A. (1973). The structure of ill-structured problems. Artificial Intelligence, 4, 181-201.

    Article  Google Scholar 

  • Weber, R. J., Moder, C. L., & Solie, J. B. (1990). Invention heuristics and mental processes underlying the development of a patent for the application of herbicides. New Ideas in Psychology, 3, 321-336.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Sense Publishers

About this chapter

Cite this chapter

Middleton, H. (2013). Representation in the Transition from Novice to Expert Architect. In: Middleton, H.E., Baartman, L.K.J. (eds) Transfer, Transitions and Transformations of Learning. International Technology Education Studies. SensePublishers, Rotterdam. https://doi.org/10.1007/978-94-6209-437-6_8

Download citation

Publish with us

Policies and ethics

Societies and partnerships