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Constraint-Based Tutors: A Success Story

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Engineering of Intelligent Systems (IEA/AIE 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2070))

Abstract

Student modeling (SM) is recognized as one of the central problems in the area of Intelligent Tutoring Systems. Numerous SM approaches have been proposed and used with more or less success. Constraint-based modeling is a new approach, which has been used successfully in three tutors developed in our group. The approach is extremely efficient, and it overcomes many problems that other student modelling approaches suffer from. We present the advantages of CBM over other similar approaches, describe three constraint- based tutors and present our future research plans

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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

    Antonija Mitrovic, Michael Mayo, Pramuditha Suraweera & Brent Martin

Authors
  1. Antonija Mitrovic
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  2. Michael Mayo
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  3. Pramuditha Suraweera
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  4. Brent Martin
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Editor information

Editors and Affiliations

  1. Hungarian Academy of Sciences, Intelligent Manufacturing and Business Processes Computer and Automation Research Institute, Kende utca 13-17, 1111, Budapest, Hungary

    László Monostori  & József Váncza  & 

  2. Department of Computer Science 601 University Drive, Southwest Texas State University, San Marcos, TX, 78666-4616, USA

    Moonis Ali

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© 2001 Springer-Verlag Berlin Heidelberg

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Mitrovic, A., Mayo, M., Suraweera, P., Martin, B. (2001). Constraint-Based Tutors: A Success Story. In: Monostori, L., Váncza, J., Ali, M. (eds) Engineering of Intelligent Systems. IEA/AIE 2001. Lecture Notes in Computer Science(), vol 2070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45517-5_103

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  • DOI: https://doi.org/10.1007/3-540-45517-5_103

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42219-8

  • Online ISBN: 978-3-540-45517-2

  • eBook Packages: Springer Book Archive

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