Identifying Child Learning Style by Using Human Physiological Response and VARK Model

Abstract

Theoretically, learning style is the most preferred way in which a student engages, processes, understand and hold information. Every child understands and learns differently, which make the child learning style in the classroom to be influential on the overall success of the learning process. Many children lost interest and zeal when they struggle hard to understand what is being taught in the classroom, which is why it is of paramount importance for this problem to be addressed, in other to make learning fair for every child. Numerous theoretical studies on identifying learning styles have been carried out lately, but the implementation in real life have been so few and vague. This study proposes an approach for identifying children learning style using their physiological response which including blood pressure and heart pulse rate. Following the VARK model, four different types of learning styles are obtained, including visual, aural, tactile (read and write) and tactile. The decision tree is used as the classifier. The experiment is conducted with 21 primary school students within the age of 12–13. The classification result shows that the proposed method provides 81%accuracy of the study physiological response correlate with the VARK model categorization of learning.