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Using Clustering Technique for Students’ Grouping in Intelligent E-Learning Systems

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HCI and Usability for Education and Work (USAB 2008)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 5298))

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Abstract

In the paper, application of cluster analysis for students’ grouping in intelligent e-learning systems is considered. It is proposed the system architecture, in which teaching paths as well as proper layouts are adjusted to groups of students according to their learning styles and usability preferences. Considered student models are built on the basis of Felder and Silverman model, together with student color choices. It is considered usage of two versions of two-phase hierarchical clustering algorithm for students’ grouping. Experimental results for both of the approaches are compared and discussed.

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Author information

Authors and Affiliations

  1. Institute of Computer Science Technical University of Lodz, Wolczanska 215, 90-924, Lodz, Poland

    Danuta Zakrzewska

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  1. Danuta Zakrzewska
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Editors and Affiliations

  1. Institute for Medical Informatics, Statistics and Documentation (IMI) Research Unit HCI4MED, Medical University Graz (MUG), Auenbruggerplatz 2/V, 8036, Graz, Austria

    Andreas Holzinger

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Zakrzewska, D. (2008). Using Clustering Technique for Students’ Grouping in Intelligent E-Learning Systems. In: Holzinger, A. (eds) HCI and Usability for Education and Work. USAB 2008. Lecture Notes in Computer Science, vol 5298. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89350-9_28

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  • DOI: https://doi.org/10.1007/978-3-540-89350-9_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89349-3

  • Online ISBN: 978-3-540-89350-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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