A Novel E-Learning Management System for Appropriate Recommendations on the Learning Contents

Abstract

Educational organizations are able to bridge organizational gaps due to the rapid advances in science and technology. Specifically, e-learning drastically reduces the learning time compared to the traditional classroom setting. The challenges in e-learning are the organization of learning contents, characteristics of the learning individual, technological constraints, and performance evaluation. Moreover, the success of the e-learning environment is greatly influenced by the factors like appropriate recommendations of learning contents, content delivery, performance evaluation, and the maintenance of the psychological level through identification of the learning styles of the learners. The continual process of performance evaluation is commonly attributed by the challenging issues of Ontology Construction and Alignment in order to enhance the semantics of the evaluation documents. In the rest of the chapter, a novel rule-based e-learning management system is discussed as a solution for appropriate recommendations of the learning contents based on the psychological understanding of the learners for learning using fuzzy logic and the subsequent evaluation of the learners using Ontology Construction and Ontology Alignment technique using deontic logic. The experiments have been carried out on evaluating the learning of C programming language using an e-learning framework.