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Context-Dependent Help for the DynaLearn Modelling and Simulation Workbench

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Book cover Artificial Intelligence in Education (AIED 2011)

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

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Abstract

We implemented three kinds of context-dependent help for a qualitative modelling and simulation workbench called DynaLearn. We show that it is possible to generate and select assistance knowledge based on the current model, simulation results and workbench state.

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References

  1. Bredeweg, B., Liem, J., Linnebank, F., Bühling, R., Wißner, M., del Río, J.G., Salles, P., Beek, W., Gómez Pérez, A.: DynaLearn: Architecture and approach for investigating conceptual system knowledge acquisition. In: Aleven, V., Kay, J., Mostow, J. (eds.) ITS 2010. LNCS, vol. 6095, pp. 272–274. Springer, Heidelberg (2010)

    Chapter  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. Mittal, V., Moore, J.: Dynamic Generation of Follow up Question Menus: Facilitating Interactive Natural Language Dialogues. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 1995, pp. 90–97 (1995)

    Google Scholar 

  4. Mehlmann, G., Häring, M., Bühling, R., Wißner, M., André, E.: Multiple Agent Roles in an Adaptive Virtual Classroom Environment. In: Intelligent Virtual Agents, pp. 250–256 (2010)

    Google Scholar 

  5. Leelawong, K., Biswas, G.: Designing Learning by Teaching Agents. The Betty’s Brain System. International Journal of Artificial Intelligence in Education 18(3), 181–208 (2008)

    Google Scholar 

  6. Forbus, K., Ureel, L., Carney, K., Sherin, B.: Qualitative Modeling for Middle-School Students. In: Proceedings of the 18th International Qualitative Reasoning Workshop, pp. 81–87 (2004)

    Google Scholar 

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Author information

Authors and Affiliations

  1. University of Amsterdam, The Netherlands

    Wouter Beek, Bert Bredeweg & Sander Latour

Authors
  1. Wouter Beek
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  2. Bert Bredeweg
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  3. Sander Latour
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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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Beek, W., Bredeweg, B., Latour, S. (2011). Context-Dependent Help for the DynaLearn Modelling and Simulation Workbench. 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_56

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  • DOI: https://doi.org/10.1007/978-3-642-21869-9_56

  • 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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