Learning Style Recommender System Using VAK Technique and Machine Learning

Abstract

We are Teaching, but Are they Learning?—“This is the main fundamental question every teacher/parent/trainer should ask themselves because there is a huge gap between teaching and learning which resulted in poor learning by students [1].” If the faculty/teachers can adjust their teaching pattern based on the student learning style then surely we can increase the subject interest among students. The learning styles concept has much potential with under-prepared students. Late years have seen an adjustment in the patterns of training from teaching method to andragogy, for example, from an educator focused figuring out how to understudy focused learning. This paper bridges the gap between teaching and learning using VAK self-assessment questionnaire evaluation using different Machine Learning models.