Adaptivity based on Felder-Silverman Learning Styles Model in E-Learning Systems

Adaptivity in e-learning systems is based on modeling the learners. Learners are modeled based on their individual differences and preferences. In this context, learning styles models are generally used for adaptivity purposes, as they model how the learners learn. Felder and Silverman learning styles model is the most widely used learning styles model in the e-learning field. How this model can be used to provide adaptivity in e-learning systems is an important research subject. In this paper, this research subject is investigated, by using some of the recent reviews on learning styles based adaptive e-learning systems as the basis of the paper. Results show that automatic classification of learners by their learning styles is an important area that needs further research. Evaluation of the attributes used in the classification mechanisms is another research area that needs to be supported with more research studies. Therefore, it can be concluded that more research is needed to fully realize the potential of adaptive e-learning systems based on Felder and Silverman learning styles model.