Title :
A Framework for Using Web Usage Mining to Personalise E-learning
Author :
Ba-Omar, Hafidh ; Petrounias, Ilias ; Anwar, Fahad
Author_Institution :
Univ. of Manchester, Manchester
Abstract :
Web usage mining can contribute to finding significant educational knowledge. It can play a vital role in the personalisation aspects of any domain. We propose a framework for personalizing e-learning that necessitates careful attention towards individual learning styles. We focus on identifying learning patterns of learners and the sequence of choosing learning resources in relation to their learning styles. A prototype for an adaptive Web based course has been developed where the learning environment is modifying its behaviour to reflect learning styles.
Keywords :
Internet; data mining; distance learning; educational courses; Web usage mining; adaptive Web based course; educational knowledge; individual learning styles; learning resources; personalise e-learning; Association rules; Cleaning; Data mining; Electronic learning; Informatics; Natural languages; Pattern analysis; Prototypes; Software tools; Testing;
Conference_Titel :
Advanced Learning Technologies, 2007. ICALT 2007. Seventh IEEE International Conference on
Conference_Location :
Niigata
Print_ISBN :
0-7695-2916-X
DOI :
10.1109/ICALT.2007.13