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Data mining for the analysis of content interaction in web-based learning and training systems

Pahl, Claus (2006) Data mining for the analysis of content interaction in web-based learning and training systems. In: Ventura, S. and Romero, C., (eds.) Data Mining in E-Learning. WIT Press, pp. 41-56. ISBN 978-1-84564-152-8

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Data mining is based on the detection and extraction of knowledge from a database. Web usage mining is a special form of data mining to address behaviour in Web sites. Web usage mining shall be proposed as the central, nonintrusive and objective evaluation technique for the analysis of the usage of Web-based learning and training systems and in particular of the interaction with educational content in these systems. We will introduce and illustrate a number of mining techniques that were developed specifically for the educational context. The behaviour of learners in learning and training technology systems, in particular when a variety of interactive learning and training features is offered, needs to be analysed and evaluated in order to show the effectiveness and to improve, if necessary, the instructional design. We look at techniques to determine the goals of learning sessions, the detailed interaction with content, and the changing of learning behaviour over time.

Item Type:Book Section
Uncontrolled Keywords:data mining; e-learning
Subjects:Social Sciences > Educational technology
Computer Science > Software engineering
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Publisher:WIT Press
Official URL:
Copyright Information:© 2006 WIT Press Courtesy of WIT Press from the book "Data Mining in E-Learning" pp. 41-56 2006.
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:17218
Deposited On:10 Sep 2012 11:22 by Claus Pahl. Last Modified 10 Sep 2012 11:22

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