E-Learning material presentation and visualization types and schemes

Multimedia and content visualisation provide ability to transform electronic materials into more dynamic format. This can provide positive aspect on learning, but also can overload the limited information processing capacity in human brains. Cognitive load in technology-enhanced learning is closely related to the learning styles of learners. This study examines interactions between learning styles of students and how these are related to student's working memory and cognitive traits. To investigate the learning styles of learners the Felder- Soloman questionnaire was chosen. It allows analyse students' learning styles with respect to the Felder-Silverman learning style model, which is the most appropriate for a web-based learning. Also the interaciton between cognitive traits and learning styles is analysed. The results of this analysis prove the importance of multimodal learning in technology-enhanced learning. Also some relationships between learners with higher working memory capacity and learners with lower working memory capacity were demonstrated. The results will help to improve students' model for better adaptivity of learning materials.