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Web Usage Mining Project for Improving Web-Based Learning Sites

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Computer Aided Systems Theory – EUROCAST 2005 (EUROCAST 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3643))

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Abstract

Despite the great success of data mining being applied for personalization in web environments, it has not yet been massively applied in the e-learning domains. In this paper, we outline a web usage mining project which has been initiated in University of Cantabria. The aim of this project is to develop tools which let us improve its Web-based learning environment in two main aspects: the first that the teacher obtains information which allows him to evaluate the learning process and the second that the student feels supported in this task.

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References

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Author information

Authors and Affiliations

  1. Department of Applied Mathematics and Computer Sciences, University of Cantabria, Avda. de los Castros s/n, 39005, Santander, Spain

    M. E. Zorrilla, D. Marín & E. Mora

  2. Dpto de Lenguajes y Sistemas Informáticos. Facultad de Informática, Universidad Politécnica de Madrid, Boadilla del Monte, Spain

    E. Menasalvas & J. Segovia

Authors
  1. M. E. Zorrilla
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  2. E. Menasalvas
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  3. D. Marín
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  4. E. Mora
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  5. J. Segovia
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Editor information

Editors and Affiliations

  1. Instituto Universitario de Ciencias y Tecnologícas Cibernéticas, Universidad de Las Palmas de Gran Canaria, Campus de Tafira, 35017, Las Palmas de Gran Canaria,, Las Palmas, Spain

    Roberto Moreno Díaz

  2. Systems Theory, Johannes Kepler University Linz, Altenbergerstrasse 69, A-4040, Linz, Austria

    Franz Pichler

  3. Universidad de Las Palmas de Gran Canaria, Instituto Universitario de Ciencias y Tecnologícas Cibernéticas, Campus de Tafira, 35017, Las Palmas de Gran Canaria, Las Palmas, Spain

    Alexis Quesada Arencibia

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© 2005 Springer-Verlag Berlin Heidelberg

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Zorrilla, M.E., Menasalvas, E., Marín, D., Mora, E., Segovia, J. (2005). Web Usage Mining Project for Improving Web-Based Learning Sites. In: Moreno Díaz, R., Pichler, F., Quesada Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2005. EUROCAST 2005. Lecture Notes in Computer Science, vol 3643. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11556985_26

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  • DOI: https://doi.org/10.1007/11556985_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29002-5

  • Online ISBN: 978-3-540-31829-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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