Detecting individual student’s learning styles by observing their interaction and action within learning management systems, and customizing presentation and navigation of the content to suit those learning styles.
Learning management systems (LMS) are successfully used in education but they typically provide the same courses for all learners rather than considering the learners’ individual needs. In recent years, more and more research is done on incorporating individual characteristics such as learning styles in technology enhanced learning. According to educational theories, learners with a strong preference for a specific learning style might have difficulties in learning if their learning style is not considered by the teaching environment. On the other hand, providing courses that fit to the individual learning styles makes learning easier for students. As a requirement for taking learning styles into consideration in LMS, the behaviour of students in online courses needs to be investigated. Studies have found that learners with different preferences for learning styles act also differently in the course. Results of these studies can provide information about students’ preferred way of learning and their favoured features in the LMS. On one hand, this information can be used to incorporate different features in a course in order to support different learning styles. On the other hand, the information can act as basis for providing adaptive courses.
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