Learning Style Detection by using Literature-based Approach: A Conceptual Design

Abstract

Learning style refers to student's different methods in approaching learning and gaining knowledge. It is important for educators to understanding different learning styles among students, in order to provide students, different ways to learn and approach information. Therefore, the teacher could share the knowledge and experiences, and apply the best method to match the students’ learning preferences. The best practice strategies in their daily activities, curriculum and assessments can also be implemented. One of the most common learning styles is that, students’ learning styles through three preferences; visual learners, auditory learners and kinesthetic learners. These learning styles are known as VAK, that refers to the three types of learning styles: visual, auditory, and kinesthetic. VAK learning style determines students either they are under collaborative or automatic models. Automatic approach is considered as a better approach to identify learning style because it is based on the actual student’s behaviour while learning pattern. Therefore, the main aim of this paper is to discover VAK learning style based on literature-based approach. The architecture of VAK is also proposed for detecting learning styles based on learner’s behaviour using a simple rule-based technique