Personalized Mobile Learning via an Adaptive Engine

Abstract

Using mobile devices for learning gets more and more popular. However, in order to provide learners with suitable learning materials in such mobile settings, the learners' characteristics and context should be considered. In this paper, we propose an approach for providing personalized course content in mobile settings, considering a combination of students' learning styles and context. The proposed system aims at supporting students by presenting them with learning materials that are appropriate with respect to the students' current contexts and based on their preferred learning styles.