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IEAAIE
2010
Springer

Web Usage Mining for Improving Students Performance in Learning Management Systems

9 years 11 months ago
Web Usage Mining for Improving Students Performance in Learning Management Systems
An innovative technique based on multi-objective grammar guided genetic programming (MOG3P-MI) is proposed to detect the most relevant activities that a student needs to pass a course based on features extracted from logged data in an education web-based system. A more flexible representation of the available information based on multiple instance learning is used to prevent the appearance of a great number of missing values. Experimental results with the most relevant proposals in multiple instance learning in recent years demonstrate that MOG3P-MI successfully improves accuracy by finding a balance between specificity and sensitivity values. Moreover, simple and clear classification rules which are markedly useful to identify the number, type and time of activities that a student should do within the web system to pass a course are provided by our proposal.
Amelia Zafra, Sebastián Ventura
Added 13 Feb 2011
Updated 13 Feb 2011
Type Journal
Year 2010
Where IEAAIE
Authors Amelia Zafra, Sebastián Ventura
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