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International Conference on Computational Science and Its Applications

ICCSA 2012: Computational Science and Its Applications – ICCSA 2012 pp 550–561Cite as

User Modeling for Adaptive E-Learning Systems

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7335))

Abstract

Adaptive systems have been a hot topic in various areas like hypermedia systems, e-commerce systems, e-learning environments and information retrieval. In order to provide adaptivity, these systems need to keep track of different types of information about their users. Therefore, user modeling is at the heart of the adaptation process. In this paper, different user modeling techniques will be reviewed with the focus on what needs to be modeled and how it will be modeled, i.e., the demographic information of the users are collected in most of these systems, however, how it will be used in the adaptation process depends on the methodology being followed. The evaluation of different user modeling approaches and examination of some recent adaptive e-learning systems’ architectures will also be provided.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Ege University, 35100, Bornova, Izmir, Turkey

    Birol Ciloglugil

  2. Department of Computer Education and Instructional Technology, Ege University, 35100, Bornova, Izmir, Turkey

    Mustafa Murat Inceoglu

Authors
  1. Birol Ciloglugil
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  2. Mustafa Murat Inceoglu
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Editor information

Editors and Affiliations

  1. Laboratory of Urban and Territorial Systems, University of Basilicata, 10, Viale dell’Ateneo Lucano, 85100, Potenza, Italy

    Beniamino Murgante

  2. Department of Mathematics and Computer Science, University of Perugia, Via Vanvitelli 1, 06123, Perugia, Italy

    Osvaldo Gervasi

  3. Department of Cyber Security Science, Federal University of Technology, Gidan Kwano Campus, Minna, Nigeria

    Sanjay Misra

  4. Faculty of Engineering, Department of Electronics Engineering and Telecommunications, State University of Rio de Janeiro, Rua Sao Francisco Xavier, 524, 50. andar, sala 5145-F, Maracana, 20.550-013, Rio de Janeiro, RJ, Brazil

    Nadia Nedjah

  5. Department of Production and Systems, University of Minho, Campus de Gualtar, 4710-057, Braga, Portugal

    Ana Maria A. C. Rocha

  6. School of Business Systems, Monash University, 3800, Clayton, VIC, Australia

    David Taniar

  7. Department of Intelligent Informatics, Kyushu Sangyo University, 2-3-1 Matsukadai, Higashi-ku, 813-8503, Fukuoka, Japan

    Bernady O. Apduhan

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© 2012 Springer-Verlag Berlin Heidelberg

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Ciloglugil, B., Inceoglu, M.M. (2012). User Modeling for Adaptive E-Learning Systems. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2012. ICCSA 2012. Lecture Notes in Computer Science, vol 7335. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31137-6_42

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  • DOI: https://doi.org/10.1007/978-3-642-31137-6_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31136-9

  • Online ISBN: 978-3-642-31137-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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