An E-Learning Investigation into Learning Style Adaptivity

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.

[1]  Konstantina Chrysafiadi,et al.  Student modeling approaches: A literature review for the last decade , 2013, Expert Syst. Appl..

[2]  BudimacZoran,et al.  E-Learning personalization based on hybrid recommendation strategy and learning style identification , 2011 .

[3]  Yavuz Akbulut,et al.  Adaptive educational hypermedia accommodating learning styles: A content analysis of publications from 2000 to 2011 , 2012, Comput. Educ..

[4]  Kim Buch,et al.  Accommodating diverse learning styles inthe design and delivery of on-line learning experiences , 2001 .

[5]  Peter Brusilovsky,et al.  Adaptive Navigation Support , 2007, The Adaptive Web.

[6]  Mohamed Jemni,et al.  A fully personalization strategy of E-learning scenarios , 2010, Comput. Hum. Behav..

[7]  R. Felder,et al.  Learning and Teaching Styles in Engineering Education. , 1988 .

[8]  Peter Brusilovsky,et al.  Adaptive Hypermedia , 2001, User Modeling and User-Adapted Interaction.

[9]  Peter Brusilovsky,et al.  User Models for Adaptive Hypermedia and Adaptive Educational Systems , 2007, The Adaptive Web.

[10]  George D. Magoulas,et al.  Personalizing the Interaction in a Web-based Educational Hypermedia System: the case of INSPIRE , 2003, User Modeling and User-Adapted Interaction.

[11]  D. Kolb Experiential Learning: Experience as the Source of Learning and Development , 1983 .

[12]  Pilar Rodríguez Marín,et al.  Considering Sensing-Intuitive Dimension to Exposition-Exemplification in Adaptive Sequencing , 2002, AH.

[13]  WangYi-Shun Assessment of learner satisfaction with asynchronous electronic learning systems , 2003 .

[14]  Georgios Theodoropoulos,et al.  An Animated Cryptographic Learning Object , 2008, 2008 Fifth International Conference on Computer Graphics, Imaging and Visualisation.

[15]  Charalambos Vrasidas CONSTRUCTIVISM VERSUS OBJECTIVISM: IMPLICATIONS FOR INTERACTION, COURSE DESIGN, AND EVALUATION IN DISTANCE EDUCATION. , 2000 .

[16]  Elaine Rich,et al.  Stereotypes and User Modeling , 1989 .

[17]  Peter Brusilovsky,et al.  Methods and techniques of adaptive hypermedia , 1996, User Modeling and User-Adapted Interaction.

[18]  Mia Stern,et al.  Adaptive Content in an Online Lecture System , 2000, AH.

[19]  Rachid Anane,et al.  Adaptivity in E-Learning Systems , 2014, 2014 Eighth International Conference on Complex, Intelligent and Software Intensive Systems.

[20]  Carla Limongelli,et al.  Adaptive Learning with the LS-Plan System: A Field Evaluation , 2009, IEEE Transactions on Learning Technologies.

[21]  R. Felder,et al.  Applications, Reliability and Validity of the Index of Learning Styles* , 2005 .

[22]  Yi-Shun Wang,et al.  Assessment of learner satisfaction with asynchronous electronic learning systems , 2003, Inf. Manag..

[23]  Terry Anderson,et al.  The Theory and Practice of Online Learning , 2009 .

[24]  Zoran Budimac,et al.  E-Learning personalization based on hybrid recommendation strategy and learning style identification , 2011, Comput. Educ..

[25]  M. McDaniel,et al.  Learning Styles , 2008, Psychological science in the public interest : a journal of the American Psychological Society.

[26]  Tony Fisher,et al.  Evaluating Learning Style Personalization in Adaptive Systems: Quantitative Methods and Approaches , 2009, IEEE Transactions on Learning Technologies.

[27]  Kinshuk,et al.  In-Depth Analysis of the Felder-Silverman Learning Style Dimensions , 2007 .

[28]  I. B. Myers Manual: A Guide to the Development and Use of the Myers-Briggs Type Indicator , 1985 .

[29]  R. Felder,et al.  The Effects of Personality Type on Engineering Student Performance and Attitudes , 2002 .

[30]  M. Zywno A Contribution to Validation of Score Meaning for Felder- Soloman's Index of Learning Styles , 2003 .

[31]  Peter Brusilovsky,et al.  Adaptive Technologies for Training and Education: Adaptive Hypermedia for Education and Training , 2012 .

[32]  Analía Amandi,et al.  eTeacher: Providing personalized assistance to e-learning students , 2008, Comput. Educ..

[33]  Jeffery E. Olson,et al.  A Meta-Analytic Validation of the Dunn and Dunn Model of Learning-Style Preferences , 1995 .

[34]  John Self,et al.  The defining characteristics of intelligent tutoring systems research: ITSs care, precisely , 1998 .

[35]  Cristina Conati,et al.  Adaptive Content Presentation for the Web , 2007, The Adaptive Web.