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Human Expertise

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Human and Machine Problem Solving

Abstract

The intention of this chapter is to provide the reader with a glimpse of the kind of questions and research that have been investigated on the nature of expertise in problem solving. For more detailed descriptions of the actual research results, the reader is referred to an edited volume on the nature of expertise by Chi, Glaser, and Farr (1988). This chapter is not meant to be an integrated interpretation of problem solving theories. Such a review may be seen in a chapter by VanLehn (in press). Instead, we view this chapter as an updated version of the review of the expertise literature in problem solving as provided in Chi, Glaser, and Rees (1982), and Chi and Glaser (1985). Descriptions of our own research in the context of problem solving are discussed more extensively in Chi, Bassok, Lewis, Reimann, and Glaser (in press), and Chi and Bassok (in press).

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References

  • Adelson, B. (1986). Constraints and phenomena common to the semantically rich domains. International Journal of Intelligent Systems, 1, 1–14.

    Article  Google Scholar 

  • Anderson, J. R. (1976). Language, memory, and thought. Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Anderson, J. R. (1983). The architecture of cognition. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Anderson, J. R. (1986). Knowledge compilation: The general learning mechanism. In R. S. Michalski, J. G. Carbonell, & T. M. Mitchell (Eds.), Machine learning. An artificial intelligence approach (Vol. 2, pp. 289–310 ). Los Altos, LA: Morgan Kaufmann.

    Google Scholar 

  • Barrows, H. S., Feightner, J. W. Neufeld, V. R., & Norman, G. R. (1978). Analysis of the clinical methods of medical students and physicians (Final report to Ontario Ministry of Health). Hamilton, Ontario, Canada: McMaster University.

    Google Scholar 

  • Bhaskar, R., and Simon, H. A. (1977). Problem solving in semantically rich domains: An example from engineering thermodynamics. Cognitive Science, 1, 193–215.

    Article  Google Scholar 

  • Chi, M. T. H. (1984). Representing knowledge and metaknowledge: Implications for interpreting metamemory research. In F. E. Weinert and R. Kluwe (Eds.), Learning by thinking (pp. 239–266 ). Stuttgart, West Germany, Kohlhammer.

    Google Scholar 

  • Chi, M. T. H., & Bassok, M. (in press). Learning to solve physics problems by studying and using worked-out examples: Individual differences in self-explanations. In L. B. Resnick (Ed.), Knowing and learning: Issues for a cognitive science of instruction. Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Chi, M. T. H., Bassok, M., Lewis, M. W., Reimann, P., & Glaser, R. (in press). Self-explanations: How students study and use examples in learning to solve problems. Cognitive Science.

    Google Scholar 

  • Chi, M. T. H., Feltovich, P., & Glaser, R. (1981). Categorization and representation of physics problems by experts and novices. Cognitive Science, 5, 121–152.

    Article  Google Scholar 

  • Chi, M. T. H., & Glaser, R. ( 1982, December). Final report: Knowledge and skill differences in novices and experts. Pittsburgh: Learning Research and Development Center, University of Pittsburgh.

    Google Scholar 

  • Chi, M. T. H., & Glaser, R. (1985). Problem solving ability. In R. Sternberg (Ed.), Human abilities: An information processing approach (pp. 227–250 ). San Francisco: Freeman.

    Google Scholar 

  • Chi, M. T. H., Glaser, R., & Farr, M. J. (Eds.) (1988). The nature of expertise. Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Chi, M. T. H., Glaser, R., & Rees, E. (1982). Expertise in problem solving. In R. Sternberg (Ed.), Advances in the psychology of human intelligence (Vol. 1, pp. 7–75 ). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Clancey, W. (1988). Acquiring, representing, and evaluating a competence model of diagnostic strategy. In M. T. H. Chi, R. Glaser, and M. J. Farr (Eds.), The nature of expertise (pp. 343–418 ). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Elstein, A. S., Shulman, L. S., & Sprafka, S. A. (1978). Medical problem solving: An analysis of clinical reasoning. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Feltovich, P. J., Johnson, P. E., Moller, J. H., & Swanson, D. B. (1984). LCS: The role and development of medical knowledge in diagnostic expertise. In W. J. Clancey and E. H. Shortliffe (Eds.), Readings in medical artificial intelligence. Reading, MA: Addison-Wesley.

    Google Scholar 

  • Greeno, J. G., & Simon, H. A. (1984). Problem solving and reasoning. Pittsburgh: University of Pittsburgh, LRDC.

    Google Scholar 

  • Hayes, J. R., & Simon, H. A. (1974). Understanding written problem instructions. In L. W. Gregg (Ed.), Knowledge and cognition. Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Hinsley, D. A., Hayes, J. R., & Simon, H. A. (1978). From words to equations: Meaning and representation in algebra word problems. In P. A. Carpenter and M. A. Just (Eds.), Cognitive processes in comprehension. Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Johnson, P. E., Duran, A. S., Hassebrock, F., Moller, J., Prietula, M., Feltovich, P. J., & Swanson, D. B. (1981). Expertise and error in diagnostic reasoning. Cognitive Science, 5, 235–283.

    Article  Google Scholar 

  • Kolodner, J. L. (1983). Towards an understanding of the role of experience in the evolution from novice to expert. International Journal of Man—Machine Studies, 19, 497–518.

    Article  Google Scholar 

  • Larkin, J. H. (1977). Group in science and mathematics education. Berkeley, CA: University of Berkeley.

    Google Scholar 

  • Larkin, J. H. (1983). Mechanisms of effective problem solving in physics. Unpublished manuscript.

    Google Scholar 

  • Larkin, J. H. (1985). Understanding, problem representation, and skill in physics. In S. F. Chipman, J. W. Segal, & R. Glaser (Eds.), Thinking and learning skills (Vol. 2): Research and open questions (pp. 141–160 ). Hilldale, NJ: Erlbaum.

    Google Scholar 

  • Larkin, J. H., McDermott, J., Simon, D. P., & Simon, H. A. (1980). Models of competence in solving physics problems. Cognitive Science, 4, 317–345.

    Article  Google Scholar 

  • Lesgold, A. M., Feltovich, P. J., Glaser, R., & Wang, Y. (1981). The acquisition of perceptual diagnostic skill in radiology. Pittsburgh: University of Pittsburgh, LRDC.

    Google Scholar 

  • Lesgold, A., Rubinson, H., Feltovich, P., Glaser, R., Klopfer, D., & Wang, Y. (1988). Expertise in a complex skill: Diagnosing x-ray pictures. In M. Chi, R. Glaser, & M. Farr (Eds.), The nature of expertise (pp. 311–342 ). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Lewis, C. (1981). Skill in algebra. In J. R. Anderson (Ed.), Cognitive skills and their acquisition. Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Mawer, R., & Sweller, J. (1982). The effects of subgoal density and location on learning during problem solving. Journal of Experimental Psychology: Learning, Memory and Cognition, 8, 252–259.

    Article  Google Scholar 

  • McDermott, J., & Larkin, J. H. (1978). Re-representing textbook physics problems. In Proceedings of the 2nd National Conference. Toronto: University of Toronto Press.

    Google Scholar 

  • Minsky, M. (1975). A framework for representing knowledge. In P. Winston (Ed.), The psychology of computer vision. New York: McGraw-Hill.

    Google Scholar 

  • Neches, R. (1987). Learning through incremental refinement of procedures. Cambridge, MA: M.I.T. Press.

    Google Scholar 

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

    Google Scholar 

  • Patel, V. L., & Groen, G. J. (1986). Knowledge based solution strategies in medical reasoning. Cognitive Science, 10, 91–116.

    Article  Google Scholar 

  • Pople, H. (1982). Heuristic methods for imposing structure on ill-structured problems; The structuring of medical diagnosis. In P. Szolovits (Ed.), Artificial intelligence in medicine. Boulder, CO: Westview Press.

    Google Scholar 

  • Rumelhart, D. E. (1975). Notes on a schema for stories. In D. G. Borbrow and A. M. Collins (Eds.), Representation and understanding. New York: Academic Press.

    Google Scholar 

  • Rumelhart, D. E., & Norman, D. A. (1983). Representation in memory. San Diego: University of California, Cognitive Science Laboratory, CHIP.

    Google Scholar 

  • Sacerdoti, E. D. (1977). A structure for plans and behavior. New York: Elsevier North-Holland.

    Google Scholar 

  • Schank, R. C., & Abelson, R. P. (1978). Scripts, plans, goals, and understanding: An inquiry into human knowledge structures. Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Schoenfeld, A. H., & Herrmann, D. J. (1982). Problem perception and knowledge structure in expert and novice mathematical problem solvers. Journal of Experimental Psychology: Learning, Memory and Cognition, 8, 484–494.

    Article  Google Scholar 

  • Simon, D. P., & Simon, H. A. (1978). Individual differences in solving physics problems. In R. Siegler (Ed.), Children’s thinking: What develops. Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Sweller, J. (1983). Control mechanisms in problem solving. Memory and Cognition, 11, 32–40.

    Article  Google Scholar 

  • Sweller, J., & Levine, M. (1982). Effects of goal specifity on means—ends analysis and learning. Journal of Experimental Psychology: Learning, Memory and Cognition, 8, 463–474.

    Article  Google Scholar 

  • Sweller, J, Mawer, R., & Howe, W. (1982). Consequences of history-cued and means—ends strategies in problem solving. American Journal of Psychology, 95, 455–483.

    Article  Google Scholar 

  • Sweller, J., Mawer, R., & Ward, M.R. (1983). Development of expertise in mathematical problem solving. Journal of Experimental Psychology: General, 112, 639–661.

    Article  Google Scholar 

  • Toulmin, S.E. (1958). The uses of argument. New York: Cambridge University Press.

    Google Scholar 

  • VanLehn, K. (in press). Problem solving and cognitive skill acquisition. In M. Posner (Ed.), The foundations of cognitive science. Cambridge, MA: MIT Press.

    Google Scholar 

  • Voss, J. F., Greene, T. R., Post, T. A., & Penner, B. C. (1983). Problem solving skill in the social sciences. In G. H. Bower (Ed.), The psychology of learning and motivation: Advances in research theory (Vol. 17 ). New York: Academic Press.

    Google Scholar 

  • Voss, J. F., & Post, T. A. (1988). On the solving of ill-structured problems. In M. Chi, R. Glaser, & M. Farr (Eds.), The nature of expertise (pp. 261–286 ). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Voss, J. F., Tyler, S., & Yengo, L. (1983). Individual differences in the solving of social science problems. In R. Dillon & R. Schmeck (Eds.), Individual differences in cognition. New York: Academic Press.

    Google Scholar 

  • Weiser, M., & Shertz, J. (1983). Programming problem representation in novice and expert programmers. International Journal of Man—Machine Studies, 19, 391–398.

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Psychology Institute, University of Freiburg, D-7800, Freiburg, West Germany

    P. Reimann

  2. Learning Research and Development Center, University of Pittsburgh, Pittsburgh, Pennsylvania, 15260, USA

    M. T. H. Chi

Authors
  1. P. Reimann
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  2. M. T. H. Chi
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Editor information

Editors and Affiliations

  1. University of Aberdeen, UK

    K. J. Gilhooly

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© 1989 Plenum Press, New York

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Reimann, P., Chi, M.T.H. (1989). Human Expertise. In: Gilhooly, K.J. (eds) Human and Machine Problem Solving. Springer, Boston, MA. https://doi.org/10.1007/978-1-4684-8015-3_7

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  • DOI: https://doi.org/10.1007/978-1-4684-8015-3_7

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4684-8017-7

  • Online ISBN: 978-1-4684-8015-3

  • eBook Packages: Springer Book Archive

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