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Australasian Joint Conference on Artificial Intelligence

AI 1999: Advanced Topics in Artificial Intelligence pp 486–487Cite as

Bayesian Reasoning for Diagnosing Student Misconceptions about Decimals

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  • Conference paper

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1747))

Abstract

Work in Bayesian student modelling is described, which draws on extensive analyses of the way that students think about the decimal numeration system. The model will form the basis of an adaptive tutoring system. We present an initial model and discuss issues arising.

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References

  1. K Stacey, D Chambers, and V Steinle. Decimals project web site. Current address is at http://online.edfac.unimelb.edu.au/485129/DecProj/index.htm.

  2. K Stacey and V Steinle. Refining the classification of students’ interpretations of decimal notation. Hiroshima Journal of Mathematics Education, 6:49–69, 1998.

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  3. K Stacey and V Steinle. A longitudinal study of children’s thinking about decimals: A preliminary analysis. In Proceedings of the Psychology and Mathematics Education Conference. Israel, August, 1999.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Software Engineering, The University of Melbourne, Parkville, Victoria, 3052

    Elise Dettmann & Liz Sonenberg

  2. School of Computer Science and Software Engineering, Monash University, Clayton, Victoria, 3168

    Ann Nicholson

  3. Department of Science and Mathematics Education, The University of Melbourne, Parkville, Victoria, 3052

    Kaye Stacey & Vicki Steinle

Authors
  1. Elise Dettmann
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  2. Ann Nicholson
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  3. Liz Sonenberg
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  4. Kaye Stacey
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  5. Vicki Steinle
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Editor information

Editors and Affiliations

  1. School of Computer Science and Engineering, University of New South Wales, Sydney, NSW, 2052, Australia

    Norman Foo

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© 1999 Springer-Verlag Berlin Heidelberg

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Cite this paper

Dettmann, E., Nicholson, A., Sonenberg, L., Stacey, K., Steinle, V. (1999). Bayesian Reasoning for Diagnosing Student Misconceptions about Decimals. In: Foo, N. (eds) Advanced Topics in Artificial Intelligence. AI 1999. Lecture Notes in Computer Science(), vol 1747. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46695-9_49

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  • DOI: https://doi.org/10.1007/3-540-46695-9_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66822-0

  • Online ISBN: 978-3-540-46695-6

  • eBook Packages: Springer Book Archive

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