Analyze on the Learning Behavior of E-Learning

In e-learning, students must learn initiatively according to their own progress via computer and Internet. That is to say, students often handle contents transmitted from far side in front of computer by themselves. In the meanwhile students have to determine "what to learn" and "where to go" in each learning unit (or learning node), so, it relatively consumes mental and physical efforts during learning that results in cognitive overload, therefore, students are easy to feel anxious about e-learning content due to said cognitive overload. Purpose of this paper is to collect the learning behavior trace during e-learning activity, and then use decision tree ID 3 to discover strenuous place in the hyperlink of elearning in order to avoid anxiety of e-learning. Based on the analysis of ID 3, the curriculum designers of e-learning will be easy to visually understand students’ behavior on e-learning by treelike graph, and then compose a well-organized and adaptive e-learning curriculum.