DocumentCode
2186393
Title
An E-Learning Investigation into Learning Style Adaptivity
Author
Alshammari, Mohammad ; Anane, Rachid ; Hendle, Robert J.
Author_Institution
Sch. of Comput. Sci., Univ. of Birmingham, Birmingham, UK
fYear
2015
fDate
5-8 Jan. 2015
Firstpage
11
Lastpage
20
Abstract
Traditional e-learning systems are typically designed for generic learners irrespective of individual requirements. In contrast, adaptive e-learning systems take into account learner characteristics such as learning style and level of knowledge in order to provide more personalised learning. The contribution of this paper is threefold. First, a generic adaptive framework aimed at enhancing learning is proposed. Second, a specific approach to adaptivity based on learning style is put forward within the framework. Third, the framework is validated and the approach is evaluated in order to determine their effectiveness in learning provision in an adaptive e-learning system. An experiment conducted with 60 participants produced positive results. They indicate that adapting instructional material according to learning style yields significantly better learning outcome and learner satisfaction than without adaptation.
Keywords
computer aided instruction; adaptive e-learning systems; learner characteristics; learner satisfaction; learning style adaptivity; personalised learning; Abstracts; Adaptation models; Adaptive systems; Concrete; Electronic learning; Sensors; adaptive e-learning systems; educational technologies; learner/student model; learning style;
fLanguage
English
Publisher
ieee
Conference_Titel
System Sciences (HICSS), 2015 48th Hawaii International Conference on
Conference_Location
Kauai, HI
ISSN
1530-1605
Type
conf
DOI
10.1109/HICSS.2015.13
Filename
7069661
Link To Document