Homogeneous Grouping of e-Learners based on Felder-Silverman Model of their Learning Style

Learning in an electronic environment is more capable than face-to-face learning for adapting educational strategies and learning content based on learners’ abilities and needs. Therefore, educational customization is used to reduce the costs of personalizing education with a teacher for each lesson and learner, where learners are placed in a group based on similar characteristics. There are several criteria for grouping learners. This study used the Felder-Silverman model learning style index to group learners based on the frequency and similarity of learning styles. Then, the designed system was used in the e-learning environment to implement customized training. Experimental and control groups were compared to determine the effectiveness of the proposed grouping method. The weighted average scores of the experimental group (17.65) and the control group (12.6) were obtained in the dimension of academic success, and the academic satisfaction from the educational course was 67% in the experimental and 37% in the control group