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International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems

IEA/AIE 2004: Innovations in Applied Artificial Intelligence pp 749–758Cite as

An Agent-Based Framework for Adaptive M-learning

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3029))

Abstract

This paper describes a multiagent system for delivering adaptive m-learning services. It provides a discussion of many questions related to adaptivity and mobility in e-learning: course content adaptation, wireless access to learning services using PDA, and openness to external learning resources (learning object repositories). The paper provides a short overview of some related works and provides a detailed description of the architecture and components of the proposed multiagent framework.

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Author information

Authors and Affiliations

  1. Center for Computing and Information System, Athabasca University, 1 University Drive, Athabasca, Alberta, T9S 3A3, Canada

    Larbi Esmahi

  2. Département de Biochimie, Université de Montréal, C.P. Succursale Centre-ville, 2900 Blvd Eduard-Montpetit, Montréal, Québec, H3C 3J7, Canada

    Elarbi Badidi

Authors
  1. Larbi Esmahi
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  2. Elarbi Badidi
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Editor information

Editors and Affiliations

  1. Institute for Information Technology, National Research Council of Canada, 1200 Montreal Read, M-50, K1A 0R6, Ottawa, Ontario, Canada

    Bob Orchard

  2. Institute for Information Technology, National Research Council, Canada

    Chunsheng Yang

  3. Department of Computer Science, Texas State University-San Marcos, Nueces 247, 601 University Drive, TX 78666-4616, San Marcos, USA

    Moonis Ali

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© 2004 Springer-Verlag Berlin Heidelberg

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Esmahi, L., Badidi, E. (2004). An Agent-Based Framework for Adaptive M-learning. In: Orchard, B., Yang, C., Ali, M. (eds) Innovations in Applied Artificial Intelligence. IEA/AIE 2004. Lecture Notes in Computer Science(), vol 3029. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24677-0_77

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  • DOI: https://doi.org/10.1007/978-3-540-24677-0_77

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22007-7

  • Online ISBN: 978-3-540-24677-0

  • eBook Packages: Springer Book Archive

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