Learning Style detection Model using Questionnaire & Solutions

Abstract

E-Learning platforms are very successful in e-education but provide little Adaptivity. Personalized courses which adapt to the needs of each individual learner improve the learning progress. In this project we would like to discuss an integration of two different approaches, namely the CMS Moodle (Modular Object-Oriented Dynamic Learning Environment) and Adaptive/Personalized eLearning Service. Providing Adaptivity based on learning styles can support learners and make learning easier for them. However, for providing proper Adaptivity, the learning styles of learners need to be known first. In this we are using questionnaires in order to identify learning styles; we present student driven learning by a system which analyses the actual behavior and actions of students. Learning styles are learners’ preferences in learning. Almost every learning style model has its own assessment tool in the form of a questionnaire. Adaptivity in VLE incorporating learning styles should be studied to detect more accurately students’ learning behavior and develop VLE which adapts to students’ individual learning styles.

 

Keywords: Learning Management System, e-learning, Moodle, VLE, Questionnaire