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An Overview of aLFanet: An Adaptive iLMS Based on Standards

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Adaptive Hypermedia and Adaptive Web-Based Systems (AH 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3137))

Abstract

aLFanet (IST-2001-33288) aims to build an adaptive iLMS (intelligent Learning Management System) that provides personalised eLearning based on the combination of different types of adaptation (e.g. learning routes, interactions in services, peer-to-peer collaboration, presentation). It integrates new principles and tools in the fields of Learning Design and Artificial Intelligence, following existing standards in the educational field (IMS-LD, IMS-CP, IEEE-LOM, IMS-LIP, IMS-QTI) and multi-agents systems (FIPA). In this paper we present an overview of the project ongoing research and developments.

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References

  1. Barrera, C., Santos, O.C., Rodriguez, A., Boticario, J.G.: Support to Learners based on Implicit Collaborative interactions. To appear in Proceedings of the Workshop Artificial Intelligence in Computer Supported Collaborative Learning.16th European Conference on Artificial Intelligence (2004)

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Author information

Authors and Affiliations

  1. Artificial Intelligence Department, Computer Science School, UNED, aDeNu Research Group, c/Juan del Rosal, 16., 28040, Madrid, Spain

    Olga C. Santos, Carmen Barrera & Jesús G. Boticario

Authors
  1. Olga C. Santos
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  2. Carmen Barrera
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  3. Jesús G. Boticario
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Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, Eindhoven University of Technology, P.O. Box 513, 5600MB, Eindhoven, The Netherlands

    Paul M. E. De Bra

  2. L3S Research Center, Leibniz Universität Hannover, Appelstrasse 9a, 30167, Hannover, Germany

    Wolfgang Nejdl

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© 2004 Springer-Verlag Berlin Heidelberg

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Santos, O.C., Barrera, C., Boticario, J.G. (2004). An Overview of aLFanet: An Adaptive iLMS Based on Standards. In: De Bra, P.M.E., Nejdl, W. (eds) Adaptive Hypermedia and Adaptive Web-Based Systems. AH 2004. Lecture Notes in Computer Science, vol 3137. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27780-4_67

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  • DOI: https://doi.org/10.1007/978-3-540-27780-4_67

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22895-0

  • Online ISBN: 978-3-540-27780-4

  • eBook Packages: Springer Book Archive

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