Identification of the Learning Behavior of the Students for Education Personalization

摘要

Use of E-learning techniques for education enhancement among the students is popular all over the world. Automation of the pedagogical approaches to deliver the education process remotely, providing interactivity in the learning environment and attaching the students continuously with the learning process are the major objectives of E - learning. Although the interactive mechanisms are presented with modern E-learning solutions, mechanisms on paying concentration on the individual students separately to equal knowledge distribution are very rarely applied in such applications. Since the learners are in different knowledge levels according to the capacities of their mind, for most of them, there is a difficulty of understanding and ensuring the concepts they learn and performing well in the learning environment. Each learner shows different level of aptitude for different subjects, different prior knowledge, different learning styles, different kind of memory, different motivation to learning, different family backgrounds, different habits etc.. These variations influence in their patterns and the preferences of learning. Therefore, personalizing the e-learning approaches has become a major research area aimed at knowledge enhancement of the individual students alike by customizing the learning environment according to the individuals' preferences. This paper presents a model of identifying the dynamic and the static learning behavior of the students to personalize the learning environment according to the individuals' learning preferences and the styles of learning. For the extraction of learning styles and the preferences, this research uses the models such as Felder Silverman's model, VAK model, Kolb's' model and Howard Garners Multiple Intelligence model.