An intelligent e-learning system based on learner profiling and learning resources adaptation

Tzouveli, P; Mylonas, P; Kollias, S

dc.contributor.author	Tzouveli, P	en
dc.contributor.author	Mylonas, P	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T01:27:55Z
dc.date.available	2014-03-01T01:27:55Z
dc.date.issued	2008	en
dc.identifier.issn	0360-1315	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/18632
dc.subject	E-learning	en
dc.subject	E-questionnaire	en
dc.subject	Educational resources adaptation	en
dc.subject	Learners' profiles	en
dc.subject	Personalization	en
dc.subject.classification	Computer Science, Interdisciplinary Applications	en
dc.subject.classification	Education & Educational Research	en
dc.subject.other	Automatic programming	en
dc.subject.other	Information technology	en
dc.subject.other	Intelligent systems	en
dc.subject.other	Knowledge management	en
dc.subject.other	Learning systems	en
dc.subject.other	Resource allocation	en
dc.subject.other	E-questionnaire	en
dc.subject.other	Educational resources adaptation	en
dc.subject.other	Learners' profiles	en
dc.subject.other	Personalization	en
dc.subject.other	E-learning	en
dc.title	An intelligent e-learning system based on learner profiling and learning resources adaptation	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.compedu.2007.05.005	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.compedu.2007.05.005	en
heal.language	English	en
heal.publicationDate	2008	en
heal.abstract	Taking advantage of the continuously improving, web-based learning systems plays an important role for self-learning, especially in the case of working people. Nevertheless, learning systems do not generally adapt to learners' profiles. Learners have to spend a lot of time before reaching the learning goal that is compatible with their knowledge background. To overcome such difficulties, an e-learning schema is introduced that adapts to the learners' ICT (Information and Communication Technologies) knowledge level. The IEEE Reference Model (WG 1) defined by the Learning Technology Standards Committee (LTSA) is extended and used for this purpose. The proposed approach is based on the usage of electronic questionnaires (e-questionnaires) designed by a group of experts. Through the automatic analysis of the learners' responses to the questionnaires, all learners are assigned to different learner profiles. According to these profiles they are served with learning material that best matches their educational needs. We have implemented our approach in five European countries and the overall case study illustrates very promising results. (C) 2007 Elsevier Ltd. All rights reserved.	en
heal.publisher	PERGAMON-ELSEVIER SCIENCE LTD	en
heal.journalName	Computers and Education	en
dc.identifier.doi	10.1016/j.compedu.2007.05.005	en
dc.identifier.isi	ISI:000257103500016	en
dc.identifier.volume	51	en
dc.identifier.issue	1	en
dc.identifier.spage	224	en
dc.identifier.epage	238	en