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Data mining technology for the evaluation of web-based teaching and learning systems

Pahl, Claus and Donnellan, Dave (2002) Data mining technology for the evaluation of web-based teaching and learning systems. In: 7th Int. Conference on E-Learning in Business, Government and Higher Education, 15-19 Oct 2002, Montreal, Canada.

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Abstract

Instructional design for Web-based teaching and learning environments causes problems for two reasons. Firstly, virtual forms of teaching and learning result in little or no direct contact between instructor and learner, making the evaluation of course effectiveness difficult. Secondly, the Web as a relatively new teaching and learning medium still requires more research into learning processes with this technology. We propose data mining – techniques to discover and extract knowledge from a database – as a tool to support the analysis of student learning processes and the evaluation of the effectiveness and usability of Web-based courses. We present and illustrate different data mining techniques for the evaluation of Web-based teaching and learning systems.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Data minig; web mining;
Subjects:Computer Science > Artificial intelligence
Social Sciences > Educational technology
Computer Science > Information retrieval
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in:Proceedings Conference on E-Learning in Business, Government and Higher Education. . AACE.
Publisher:AACE
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:16528
Deposited On:07 Oct 2011 15:37 by Claus Pahl. Last Modified 07 Oct 2011 15:37

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