Learning systems, whether traditional or computerized ones, often have a teacher-based
design and use a “one-size-fits-all” approach. This approach ignores learners' differences …

With the removal of the barriers of time and distance, E-learning platforms have attracted
millions of learners, but these platforms are experiencing a significant drop-out ratio. One of …

The purpose of this study was twofold: first, to explore the relationship between students'
learning styles and their online participation in a blended learning course, and second, to …

In this study, an adaptive learning system is developed by taking multiple dimensions of
personalized features into account. A personalized presentation module is proposed for …

Identifying students' learning styles has several benefits such as making students aware of
their strengths and weaknesses when it comes to learning and the possibility to personalize …

Learning style is traditionally assumed to be a predictor of learning performance, yet few
studies have identified the mediating and moderating effects between the two. This study …

The fact that each student has a different way of learning and processing information has
long been recognised by educationalists. In the classroom, the benefits derived from …

In this paper, we describe an approach to providing adaptivity in e-education courses. The
primary goal of the paper is to enhance an existing e-education system, namely Moodle …

Learning management systems (LMSs) such as WebCT, Blackboard, and Moodle are
commonly and successfully used in e-education. While they focus on supporting teachers in …

Providing adaptive features and personalized support by considering students' learning
styles in computer‐assisted learning systems has high potential in making learning easier …