An Approach of Learning Path Sequencing Based on Revised Bloom's Taxonomy and Domain Ontologies with the Use of Genetic Algorithms

With the rapid growth of information technology, we can observe an increase amount of e-learning systems. Thus, students and teachers are exposed to a wide variety of learning resources and learning objects. They need to choose courses, lessons, and their sequence in order to obtain desired knowledge. A technique for developing an individualized learning path that meets user requirements is described in this paper. The proposed approach utilizes ontology and a revised version of Bloom's taxonomy for the purpose of creating learning paths and a genetic algorithm for choosing the most appropriate.