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A Simple Method of Representing Reusable Strategic Knowledge for MT Tutoring

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Artificial Intelligence in Education (AIED 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6738))

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Abstract

Several popular model-tracing tutors are available today, but they are usually limited by common general compromises, such as (1) between the complexity and the variety of the domains taught, or (2) between the precision of student modeling and the degree of easiness to model new domains. We present an improved version of the ASTUS formalism, allowing the modeling of more complex knowledge while simultaneously increasing the diversity of pedagogical behavior, with no loss in diversity or time consumption.

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References

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  3. VanLehn, K., et al.: Implicit versus explicit learning of strategies in a non-procedural cognitive skill. In: Lester, J.C., Vicari, R.M., Paraguaçu, F. (eds.) ITS 2004. LNCS, vol. 3220, pp. 521–530. Springer, Heidelberg (2004)

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Author information

Authors and Affiliations

  1. Université de Sherbrooke, Québec, Canada

    Amir Abdessemed & André Mayers

Authors
  1. Amir Abdessemed
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  2. André Mayers
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Editor information

Editors and Affiliations

  1. EECS Department/ISIS, Vanderbilt University, TN 37235, Nashville, USA

    Gautam Biswas

  2. Electronic, Electrical and Computer Engineering, University of Birmingham, U.K.

    Susan Bull

  3. School of Information Technologies, University of Sydney, 1 Cleveland Street, 2006, Sydney, Australia

    Judy Kay

  4. College of Engineering, Department of Computer Science and Software Engineering, University of Canterbury, Private Bag 4800, 8140, Christchurch, New Zealand

    Antonija Mitrovic

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© 2011 Springer-Verlag Berlin Heidelberg

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Abdessemed, A., Mayers, A. (2011). A Simple Method of Representing Reusable Strategic Knowledge for MT Tutoring. In: Biswas, G., Bull, S., Kay, J., Mitrovic, A. (eds) Artificial Intelligence in Education. AIED 2011. Lecture Notes in Computer Science(), vol 6738. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21869-9_53

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  • DOI: https://doi.org/10.1007/978-3-642-21869-9_53

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21868-2

  • Online ISBN: 978-3-642-21869-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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