E-learning Behavior Analysis Based on Fuzzy Clustering

  title={E-learning Behavior Analysis Based on Fuzzy Clustering},
  author={Jili Chen and Kebin Huang and Feng Wang and Huixia Wang},
  journal={2009 Third International Conference on Genetic and Evolutionary Computing},
E-learning behavior analysis is an important issue to the instruction based on Internet. This paper proposed a new method to analyze the E-learning behavior.It classified E-learning behaviors into several clusters by fuzzy clustering algorithm. Behaviors in the same cluster have the most common in characters, while behaviors between clusters have the least common. Experiments fully demonstrated that the proposed method can achieve good performance of analyzing E-learning behavior. It shows that… CONTINUE READING
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