Enhancing E-Learning System to Support Learning Style Based Personalization

The implementation of e-learning challenges lecturers to optimize the learning process of every student. Every student is unique and has different needs related to appropriate learning methodologies. Therefore, students need personal treatment according to their individual learning styles. It is necessary that e-learning system to be enhanced with personalization features. Personalization allows adjustments to the learning environment based on learning styles. With personalization, students are offered learning materials that are tailored to their learning style. This research proposed enhancement on e-learning system that accommodates personalization based on Felder-Silverman Learning Style Model. A student's learning style determine the order of learning materials that are presented to him. This research utilized ontology in modeling objects and relation that are required in the proposed e-learning system.