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Stereotypes, Student Models and Scrutability

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Intelligent Tutoring Systems (ITS 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1839))

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Abstract

Stereotypes are widely used in both Intelligent Teaching Systems and in a range of other teaching and advisory software. Yet the notion of stereotype is very loose. This paper gives a working definition of stereotypes for student modelling. The paper shows the role of stereotypes in classic approaches to student modelling via overlay, differential and buggy models.

A scrutable student model enables learners to scrutinise their models to determine what the system believes about them and how it determined those beliefs. The paper explores the ways that scrutable stereotypes can provide a foundation for learners to tune their student models and explore the impact of the student model. Linking this to existing work, the paper notes how scrutable stereotypes might support reflection and metacognition as well as efficient, learner-controlled student modelling.

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Author information

Authors and Affiliations

  1. Basser Dept of Computer Science Madsen F09, University of Sydney, Australia, 2006

    Judy Kay

Authors
  1. Judy Kay
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Editor information

Editors and Affiliations

  1. Département d’informatique, Université du Québec á Montréal, C.P. 8888, succ. Centre-Ville, Montréal, QC, Canada, H3C 3P8

    Gilles Gauthier

  2. Département d’informatique et de recherche opérationnelle, Université de Montréal, C.P. 6128, succ. Centre-Ville, Montréal, QC, Canada, H3C 3J7

    Claude Frasson

  3. Learning Research and Development Center, University of Pittsburgh, Pittsburgh, PA, 15260, USA

    Kurt VanLehn

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© 2000 Springer-Verlag Berlin Heidelberg

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Kay, J. (2000). Stereotypes, Student Models and Scrutability. In: Gauthier, G., Frasson, C., VanLehn, K. (eds) Intelligent Tutoring Systems. ITS 2000. Lecture Notes in Computer Science, vol 1839. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45108-0_5

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  • DOI: https://doi.org/10.1007/3-540-45108-0_5

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67655-3

  • Online ISBN: 978-3-540-45108-2

  • eBook Packages: Springer Book Archive

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