PC2PSO: personalized e-course composition based on Particle Swarm Optimization
Applied Intelligence
A self-adjusting e-course generation process for personalized learning
Expert Systems with Applications: An International Journal
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Few e-Learning systems in pervasive environments take learning activities as a part of the learning process and give much flexibility to instructors to define a structural course which is helpful for students to navigate distributed learning resources. In this paper, we propose a process control model in Web-based e-Learning, and illustrate how to implement process control through learning path with workflow technology. This model improves the learning efficiency by providing instructors tools to design courses with learning paths and select the popular learning objects. It also enables students to achieve an orderly learning experience through defined learning path.