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Studying Human Tutors to Facilitate Self-explanation

  • Conference paper
Intelligent Tutoring Systems (ITS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 4053))

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Abstract

This paper reports the first phase of a project with the goal of developing a general model of self-explanation support, which could be used in both open- and closed-ended domains. We studied how human tutors provide additional support to students learning with an existing intelligent tutoring system designed to help students learn database modelling. We report on the findings from this study, which will serve as the basis for defining the model. We also discuss directions for future work.

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References

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Author information

Authors and Affiliations

  1. Intelligent Computer Tutoring Group, Department of Computer Science and Software Engineering, University of Canterbury, Private Bag 4800, Christchurch, New Zealand

    Amali Weerasinghe & Antonija Mitrovic

Authors
  1. Amali Weerasinghe
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  2. Antonija Mitrovic
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Editor information

Editors and Affiliations

  1. JAIST, 1-1, Asahi-dai, Nomi, 923-1292, Ishikawa, Japan

    Mitsuru Ikeda

  2. Learning Research and Development Center, University of Pittsburgh, Pittsburgh, PA, USA

    Kevin D. Ashley

  3. Graduate Institute of Network Learning Technology, National Central University, 300, Jhongda Rd., 32001, Jhongli City,Taoyuan County, Taiwan

    Tak-Wai Chan

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© 2006 Springer-Verlag Berlin Heidelberg

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Weerasinghe, A., Mitrovic, A. (2006). Studying Human Tutors to Facilitate Self-explanation. In: Ikeda, M., Ashley, K.D., Chan, TW. (eds) Intelligent Tutoring Systems. ITS 2006. Lecture Notes in Computer Science, vol 4053. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11774303_77

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  • DOI: https://doi.org/10.1007/11774303_77

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-35159-7

  • Online ISBN: 978-3-540-35160-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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