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A Model-Building Learning Environment with Explanatory Feedback to Erroneous Models

  • Conference paper
Intelligent Tutoring Systems (ITS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 7315))

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Abstract

Many model-building learning environments (MBEs) have been developed to support students in acquiring the ability to build appropriate models of physical systems. However, they can’t explain how the simulated behavior of an erroneous model is unnatural. Additionally, they can’t create any feedback when the model is unsolvable. We introduce a MBE which overcomes these problems with two technical ideas: (1) robust simulator which analyzes the consistency of a model and relaxes some constraints if necessary, and (2) semantics of constraints which is a systematic description of physical meanings of constraints and provides heuristics for explaining the behavioral unnaturalness.

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Author information

Authors and Affiliations

  1. Graduate School of Maritime Sciences, Kobe University, Japan

    Tomoya Horiguchi

  2. Department of Information Engineering, Hiroshima University, Japan

    Tsukasa Hirashima

  3. Qualitative Reasoning Group, Department of Electrical Engineering and Computer Science, Northwestern University, USA

    Kenneth D. Forbus

Authors
  1. Tomoya Horiguchi
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  2. Tsukasa Hirashima
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  3. Kenneth D. Forbus
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Editor information

Editors and Affiliations

  1. University of Montpellier & CNRS LIRMM, 161 rue Ada, 34095, Montpellier, France

    Stefano A. Cerri

  2. NASA and Florida Institute for Human and Machine Cognition, Human Centered Computing - Intelligent Systems Division, 94035, Moffett Field, CA, USA

    William J. Clancey

  3. Department of Applied Informatics and Multimedia, Technological Educational Institute of Crete, School of Applied Technology, Stavromenos, P.O.Box 1939, 71004, Heraklion, Crete, Greece

    Giorgos Papadourakis

  4. Neoanalysis Ltd., Marni 56, 10437, Athens, Greece

    Kitty Panourgia

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© 2012 Springer-Verlag Berlin Heidelberg

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Horiguchi, T., Hirashima, T., Forbus, K.D. (2012). A Model-Building Learning Environment with Explanatory Feedback to Erroneous Models. In: Cerri, S.A., Clancey, W.J., Papadourakis, G., Panourgia, K. (eds) Intelligent Tutoring Systems. ITS 2012. Lecture Notes in Computer Science, vol 7315. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30950-2_90

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  • DOI: https://doi.org/10.1007/978-3-642-30950-2_90

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30949-6

  • Online ISBN: 978-3-642-30950-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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