An Application on Adaptive E- learning using Semantic Rule based Approach

Abstract: Due to the growth of internet users, E-learning has become a preferred mode of learning not only in distance education but also in colleges and universities. However, most of the E-learning systems provide static web-based learning so that learners access the same learning content through the internet, irrespective of individual learner's profile. These learners may have very different learning backgrounds, knowledge levels, learning styles, and abilities. The “one size fit all” in an E-Learning system is clearly a typical problem. To overcome this limitation and increase effective learning, adaptive and personalized learning method is used. The proposed system utilizes the captured learner's information during the registration phase for determining learners' characteristics. The system also tracks learners' activities and tests during the learning process. Results are analyzed in order to calculate learner's abilities. The learner view page is updated based on the result of activities, results of test and learner's ability for use in the adaptation process Keywords: Adaptive learning; personalized learning, web based learning, Hybrid