DESIGNING ADAPTIVE E-LEARNING ENVIRONMENT USING INDIVIDUAL DIFFERENCES

Abstract

Adaptive educational systems (AESs) aim at delivery of effective education through user modeling techniques. Adaptation effect is provided on the basis of individual differences incorporated into student model. Most of the existing AESs have utilized single source of adaptation predominantly learning preferences or learning styles. The impact of learning style based AESs on learning outcomes is still unclear. This study presented design of adaptive e-learning environment using multiple sources of personalization to improve learning levels of students. The empirical evaluation was conducted in real learning environment using control and experimental groups that’s further consisted of subgroups, each representing different combination of parameters. The control subgroups were taught using traditional classroom environment whereas experimental subgroups through adaptive e-learning environment which imparted instruction in accordance to learning needs of learners. The results showed that experimental groups outperformed than control groups in terms of learning improvement.