Providing Adaptive Courses in Learning Management Systems with Respect to Learning Styles

Learning management systems (LMS) are commonly used in e-learning but provide little, or in most cases, no adaptivity. However, courses which adapt to the individual needs of students make learning easier for them and lead to a positive effect in learning. In this paper, we introduce a concept for providing adaptivity based on learning styles in LMS. In order to show the effectiveness of our approach, Moodle was extended by an add-on and an experiment with 437 students was performed. From the analysis of the students’ performance and behaviour in the course, we found out that students who learned from a course that matches their learning styles spent significantly less time in the course and achieved in average the same marks than students who got a course that either mismatched with their learning styles or included all available learning objects. Therefore, providing adaptive courses in LMS according to the proposed concept can be seen as effective in supporting students in learning.

[1]  Curtis A. Carver,et al.  Enhancing student learning through hypermedia courseware and incorporation of student learning styles , 1999 .

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

[3]  Fang Liu,et al.  A Comparison of Learning Style Theories on the Suitability for elearning , 2005, Web Technologies, Applications, and Services.

[4]  Beate List,et al.  An evaluation of open source e-learning platforms stressing adaptation issues , 2005, Fifth IEEE International Conference on Advanced Learning Technologies (ICALT'05).

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

[6]  Richard M. Felder,et al.  MATTERS OF STYLE , 2004 .

[7]  Peter Brusilovsky,et al.  KnowledgeTree: a distributed architecture for adaptive e-learning , 2004, WWW Alt. '04.

[8]  Margaret Honey,et al.  A manual of learning styles , 1986 .

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

[10]  Tony Fisher,et al.  Reappraising cognitive styles in adaptive web applications , 2006, WWW '06.

[11]  Sabine Graf.  Fostering Adaptivity in E-Learning Platforms: A Meta-Model Supporting Adaptive Courses , 2005, CELDA.

[12]  W. Hall,et al.  Incorporating learning styles in hypermedia environment: Empirical evaluation , 2003 .

[13]  Alexandra I. Cristea,et al.  Adaptation to learning styles in E-Learning: Approach evaluation , 2006 .

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

[15]  Clara-Inés Peña,et al.  Intelligent Agents in a Teaching and Learning Environment on the Web , 2002 .

[16]  Hongchi Shi,et al.  An intelligent distributed environment for active learning , 2001, JERC.

[17]  Ali A. Ghorbani,et al.  On the Evaluation of Adaptive Web Systems , 2004, Workshop on Web-based Support Systems.

[18]  Pilar Rodríguez,et al.  A Mixed Approach to Modelling Learning Styles in Adaptive Educational Hypermedia , 2004 .