A Discrete Particle Swarm Optimization Based Approach for Review Course Composition

In the present learning cycle, new knowledge learning and known knowledge review are two important learning processes. This paper proposes the review course composition system which adopts the discrete particle swarm optimization to quickly pick the suitable materials, and can be customized in accordance with the learner's intention. As a result, such a composition system satisfies the majority of learners with the customized review courses based on their needs.