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Open-Ended Adaptive System for Facilitating Knowledge Construction in Web-Based Exploratory Learning

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Book cover Adaptive Hypermedia and Adaptive Web-Based Systems (AH 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2347))

Abstract

A typical learning method using the Internet is exploratory learning, where learners construct knowledge through exploring the web autonomously. A problem with web-based exploratory learning is insufficient hyperlinks. An open-ended adaptive system has been developed that facilitates knowledge construction in web-based exploratory learning by avoiding the impasse.

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References

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Author information

Authors and Affiliations

  1. Dept. of Information Science and Intelligent Systems, Faculty of Engineering, Tokushima University, 2-1 Minamijosanjima, Tokushima, Japan

    Hiroyuki Mitsuhara, Youji Ochi & Yoneo Yano

Authors
  1. Hiroyuki Mitsuhara
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  2. Youji Ochi
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  3. Yoneo Yano
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Editor information

Editors and Affiliations

  1. School of Information Sciences Department of Information Science and Telecommunications, University of Pittsburgh, 135 North Bellefield Avenue, Pittsburgh, PA, 15260, USA

    Peter Brusilovsky

  2. Department of Computer Science, Eindhoven University of Technology, P.O. Box 513, 5600 MB, Einhoven, The Netherlands

    Paul De Bra

  3. Escuela Tecnica Superior de Ingenieros en Informatica Departamento de Lenguajes y Ciencias de la Computacion, Universidad de Málaga, Boulevard Luis Pasteur, 35, Málaga, Spain

    Ricardo Conejo

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© 2002 Springer-Verlag Berlin Heidelberg

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Mitsuhara, H., Ochi, Y., Yano, Y. (2002). Open-Ended Adaptive System for Facilitating Knowledge Construction in Web-Based Exploratory Learning. In: De Bra, P., Brusilovsky, P., Conejo, R. (eds) Adaptive Hypermedia and Adaptive Web-Based Systems. AH 2002. Lecture Notes in Computer Science, vol 2347. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47952-X_81

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  • DOI: https://doi.org/10.1007/3-540-47952-X_81

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43737-6

  • Online ISBN: 978-3-540-47952-9

  • eBook Packages: Springer Book Archive

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