Research on E-learning Resources Organizing Strategy

The paper studies the adaptive learning content organizing and difficult knowledge´s diagnosis algorithm. At first, it discusses the granularity of learning resources, the adaptation of application environment, the evaluation of learning outcome and personalized choice of learning resources. Secondly, it designs learning content level framework, which takes knowledge point as the meaning unit. The third is to provide the basic scheduling model for learning content organization. The model involves in pre-test, survey, knowledge point scheduling modules, summary, post-test and evaluation. Learning content scheduling algorithm is designed to choose learning content according to the learning content sequence, learner´s styles, learning evaluating outcomes and application context. At the same time, the way of Difficult Knowledge´s Diagnosis is developed to discover the difficult knowledge points during the process, and provide the feedback to the learner, which lead to carry on the individual teaching better. Lastly, the scheduling algorithm is proved effectiveness and stable.