A Novel Content Adaptation Model under E-learning Environment

Due to the rapid development of electronic technologies, it tends to be diverse to access networks besides personal computers. Thanks to the technologies, it is possible for us to learn on the net anytime and anywhere, which propels the progress in e-learning dramatically, and some new research issues arise at the same time. Firstly, owing to the differences in processing power, storage and display resolution of terminals, it will lead to some problems that the same content is sent to heterogeneous terminals. Secondly, since the personalized learning pattern is popular in modern education, it is unsuitable to send the same media type of content to the different learners. With respect to the problems, it is needed to adapt content to characteristics of terminals and preferences of learners. In this paper, we will propose a novel content adaptation model under e-learning environment employing the expert control mode in control engineering. On the basis of the theory analysis and experiment results, it is proved that content adaptation under e-learning environment can be achieved by the model effectively