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Adaptable Scaffolding – A Fuzzy Approach

  • 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

Employing scaffolding is not new in education. In CBL systems, scaffolding has been used with different levels of adaptability. This paper describes a novel design for the Learner Model, which handles the effects of uncertainty formally in the Scaffolding process. We have used this design in our CBL system (LOZ) for learning Object-Z specification. Learners can easily modify the scaffolding process if they wish. They can inspect the underlying fuzzy model and its processes. We use the fuzzy logic theory for dynamic prediction. A time threshold is used to avoid unnecessary dynamic prediction. The proposed design is domain independent and may be used for a wide range of CBL systems with little modification. We conducted an evaluation based on pre-experimental design and the results were very encouraging.

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Author information

Authors and Affiliations

  1. Institute of Information Sciences and Technology, Massey University, New Zealand

    Selvarajah Mohanarajah, Ray Kemp & Elizabeth Kemp

Authors
  1. Selvarajah Mohanarajah
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  2. Ray Kemp
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  3. Elizabeth Kemp
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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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Mohanarajah, S., Kemp, R., Kemp, E. (2006). Adaptable Scaffolding – A Fuzzy Approach. 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_60

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  • DOI: https://doi.org/10.1007/11774303_60

  • 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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