Skip to main content
SpringerLink
Log in
Book cover

International Conference on Intelligent Tutoring Systems

ITS 2012: Intelligent Tutoring Systems pp 620–621Cite as

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

  • Conference paper

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

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.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Biswas, G., Schwartz, D., Bransford, J.: Technology Support for Complex Problem Solving - From SAD Environments to AI. In: Forbus, K.D., Feltovich, P.J. (eds.) Smart Machines in Education, pp. 72–97. AAAI Press (2001)

    Google Scholar 

  2. Bredeweg, B., Linnebank, F., Bouwer, A., Liem, J.: Garp3 — Workbench for qualitative modelling and simulation. Ecological Informatics 4(5-6), 263–281 (2009)

    Article  Google Scholar 

  3. Forbus, K.D., de Kleer, J.: Building Problem Solvers. MIT Press (1993)

    Google Scholar 

  4. Forbus, K.D., Carney, K., Sherin, B., Ureel, L.: Qualitative modeling for middle-school students. In: Proc. of QR 2004 (2004)

    Google Scholar 

  5. Hirashima, T., Horiguchi, T., Kashihara, A., Toyoda, J.: Error-Based Simulation for Error-Visualization and Its Management. Int. J. of Artificial Intelligence in Education 9(1-2), 17–31 (1998)

    Google Scholar 

  6. Hirashima, T., Imai, I., Horiguchi, T., Toumoto, T.: Error-Based Simulation to Promote Awareness of Errors in Elementary Mechanics and Its Evaluation. In: Proc. of AIED 2009, pp. 409-416 (2009)

    Google Scholar 

Download references

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
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Tsukasa Hirashima
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Kenneth D. Forbus
    View author publications

    You can also search for this author in PubMed Google Scholar

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

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

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

Download citation

  • 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)

Publish with us

Policies and ethics

Search

Navigation