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Automatic Problem Generation in Constraint-Based Tutors

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Intelligent Tutoring Systems (ITS 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2363))

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Abstract

Constraint-Based Modelling (CBM) is a student modelling technique that is rapidly maturing. We have implemented several tutors using CBM and demonstrated its suitability to open-ended domains in particular. A problem with open-ended and complex domain models is their large size, necessitating a comprehensive problem set in order to provide sufficient exercises for extended learning sessions. We have addressed this issue by developing an algorithm that automatically generates new problems directly from the domain knowledge base. We present the algorithm and compare students’ performance with generated problems to those using a teacher-authored problem set, and show the performance of the generated problem set to be superior.

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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. LIRMM, University of Montpellier II and CNRS, Montpellier, France

    Stefano A. Cerri

  2. LIUPPA, IUT de Bayonne - University of Pau, Bayonne, France

    Guy Gouardères

  3. Department of Information Technologies, Universidade Federal de Alagoas, MaceiĂł, Brazil

    Fàbio Paraguaçu

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© 2002 Springer-Verlag Berlin Heidelberg

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Martin, B., Mitrovic, A. (2002). Automatic Problem Generation in Constraint-Based Tutors. In: Cerri, S.A., Gouardères, G., Paraguaçu, F. (eds) Intelligent Tutoring Systems. ITS 2002. Lecture Notes in Computer Science, vol 2363. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47987-2_42

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  • DOI: https://doi.org/10.1007/3-540-47987-2_42

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43750-5

  • Online ISBN: 978-3-540-47987-1

  • eBook Packages: Springer Book Archive

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