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Using Expert Models to Provide Feedback on Clinical Reasoning Skills

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Intelligent Tutoring Systems (ITS 2010)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 6095))

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Abstract

Effective feedback is necessary to support expertise development in clinical reasoning. Technology-rich environments (TREs) often use expert models as one means of providing this feedback. A review of empirical studies showed 3 different types of expert models in TREs: outcome models, process models, and dynamic models. This paper presents examples of each of these models and discusses their implications for the future design of feedback mechanisms to support clinical reasoning development through self-assessment.

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References

  1. Norman, G.A.: Research in clinical reasoning: past history and current trends. Med. Educ. 39, 418–427 (2005)

    Article  Google Scholar 

  2. Ericsson, K.A.: Deliberate practice and the acquisition and maintenance of expert performance in medicine and related domains. Acad. Med. 79(10), S70–S81 (2004)

    Article  Google Scholar 

  3. Ericsson, K.A., Krampe, R.T., Tesch-Römer, C.: The role of deliberate practice in the acquisition of expert performance. Psych. Rev. 100(3), 363–406 (1993)

    Article  Google Scholar 

  4. Lajoie, S.P., Azevedo, R.: Teaching and learning in technology-rich environments. In: Alexander, P.A., Winne, P.H. (eds.) Handbook of educational psychology, 2nd edn., pp. 803–821. Erlbaum, Mahwah (2006)

    Google Scholar 

  5. Gordon, J., Hazlett, C., ten Cate, O., Mann, K., Kilminster, S., Prince, K., et al.: Strategic planning in medical education: enhancing the learning environment for students in clinical settings. Med. Educ. 34(10), 841–850 (2000)

    Article  Google Scholar 

  6. Schwartz, S., Griffin, T.: Comparing different types of performance feedback and computer-based instruction in teaching medical students how to diagnose acute abdominal pain. Acad. Med. 68(11), 862–864 (1993)

    Article  Google Scholar 

  7. Danielson, J.A., Mills, E.M., Vermeer, P.J., Preast, V.A., Young, K.M., Christopher, M.M., et al.: Characteristics of a cognitive tool that helps students learn diagnostic problem solving. Educational Technology, Research and Development 55(5), 499–520 (2007)

    Article  Google Scholar 

  8. Lajoie, S.P.: Developing professional expertise with a cognitive apprenticeship model: Examples from avionics and medicine. In: Ericsson, K.A. (ed.) Development of professional expertise: Toward measurement of expert performance and design of optimal learning environments, pp. 61–83. Cambridge University Press, Cambridge (2009)

    Google Scholar 

  9. Gauthier, G., Naismith, L., Lajoie, S.P., Wiseman, J.: Using expert decision maps to promote reflection and self-assessment in medical case-based instruction. In: Aleven, V., Ashley, K., Lynch, C., Pinkwart, N. (eds.) Intelligent tutoring systems for ill-defined domains, Workshop conducted at the 9th International Conference on Intelligent Tutoring Systems, Montreal, June 2008, pp. 68–80 (2008)

    Google Scholar 

  10. Crowley, R.S., Medvedeva, O.: An intelligent tutoring system for visual classification problem solving. Artif’l Intell. in Med. 36(1), 85–117 (2006)

    Article  Google Scholar 

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Naismith, L., Lajoie, S.P. (2010). Using Expert Models to Provide Feedback on Clinical Reasoning Skills. In: Aleven, V., Kay, J., Mostow, J. (eds) Intelligent Tutoring Systems. ITS 2010. Lecture Notes in Computer Science, vol 6095. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13437-1_32

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  • DOI: https://doi.org/10.1007/978-3-642-13437-1_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13436-4

  • Online ISBN: 978-3-642-13437-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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