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Computational Intelligence for Technology Enhanced Learning pp 195–224Cite as

Computational Intelligence Methods for Data Analysis and Mining of eLearning Activities

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 273))

Abstract

Enhancing the the effectiveness of web-based eduction has become one of the most important concerns within both educational engineering and information system fields. The development of information technologies has contributed to the growth in elearning as an important education method. This learning environment enables learners to participate in ’any time, any place’ personalized training. It has been known that the application of data mining and computational intelligent approaches can provide better learning environments, and in their effort to participate in this field, the authors introduced this study which consists in its first part of a survey of the applications of data mining and computational intelligence in web based education during (2004-2009), and the second part is a case study that aims to analyze students’ activities performed in a Learning Management System.

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Authors and Affiliations

  1. Department of Computer Science, FEECS, VŠB - Technical University of Ostrava, Ostrava, Czech Republic

    Pavla Dráždilová, Gamila Obadi, Kateřina Slaninová, Shawki Al-Dubaee, Jan Martinovič & Václav Snášel

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  1. Pavla Dráždilová
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Editors and Affiliations

  1. Department of Languages and Informatics Systems, Polytechnic University of Catalonia, Campus Nord, Ed.Omega, C/Jordi Girona 1-3, 08034, Barcelona, Spain

    Fatos Xhafa

  2. Department of Computer Sciences Multimedia and Telecommunications, Open University of Catalonia, Rbla. Poblenou. 156, 08018, Barcelona, Spain

    Santi Caballé  & Thanasis Daradoumis  & 

  3. Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, P.O. Box 2259, 98071-2259, Auburn, Washington, USA

    Ajith Abraham

  4. Department of Information Sciences, Open University of Catalonia, Av. Tibidabo 39-43, 08035, Barcelona, Spain

    Angel Alejandro Juan Perez

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Dráždilová, P., Obadi, G., Slaninová, K., Al-Dubaee, S., Martinovič, J., Snášel, V. (2010). Computational Intelligence Methods for Data Analysis and Mining of eLearning Activities. In: Xhafa, F., Caballé, S., Abraham, A., Daradoumis, T., Juan Perez, A.A. (eds) Computational Intelligence for Technology Enhanced Learning. Studies in Computational Intelligence, vol 273. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11224-9_9

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  • DOI: https://doi.org/10.1007/978-3-642-11224-9_9

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