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Tailoring Feedback by Correcting Student Answers

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Book cover Intelligent Tutoring Systems (ITS 2000)

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

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Abstract

Constraint-based models [7] represent the domain by describing states into which a solution may fall, and testing that solutions in a state are consistent with the problem being solved. Constraints have a relevance condition (which defines the state) and a satisfaction condition (which tests the integrity of the solution.) In this paper we present a purely pattern-based representation for constraints, and describe a method for using it to generate correct solutions based on students’ incorrect answers. This method will be used to tailor feedback, by presenting the student with correct examples that most closely match their attempts.

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References

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Author information

Authors and Affiliations

  1. Intelligent Computer Tutoring Group Department of Computer Science, University of Canterbury, Private Bag 4800, Christchurch, New Zealand

    Brent Martin & Antonija Mitrovic

Authors
  1. Brent Martin
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  2. Antonija Mitrovic
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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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Martin, B., Mitrovic, A. (2000). Tailoring Feedback by Correcting Student Answers. 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_42

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  • DOI: https://doi.org/10.1007/3-540-45108-0_42

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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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