Personalization of Learning Management System using VARK

Abstract

In the current scenario   Learning Management System (LMS) an integrated web based learning environment and tool for instructional purpose is highly preferred   educational to make learning available at any time anywhere to the learner. As most of the Learning Management System focuses more on providing a personalized learning environment based on user interests   that will ease the process of learning. Each individual will have their own Learning style in which he/she understands, adapts and identifies new and concrete information.  At this juncture identifying the learning style of the individual   helps to provide a more personalized Learning Management System.  In this paper we intend to study the usefulness of classification algorithms in classifying the raw data that serves as source for further learning style prediction.  Thus the identification of the    learning style using efficient data mining techniques improves the overall performance of the Learning management system.