Recently, e-learning is a very popular issue which encompasses education and computer science. The reason that e-learning attracts much attention is that it would enhance the quality of education, get rid of the defect in traditional education and decline the effort when instructors collect and design the contents. For these reasons, this study examined the effects of personal learning styles , presenting sequence of material and learning path on learning performance. First, we use Kolb’s Learning Style Inventory to analyze leaning style. All learners are separated into four learning styles, and then they studied on e-learning. Next, we make an analysis of related rule for different browsing records of learners and conclude four browsing behavior of learning styles. The data is analyzed by data mining and statistic methods. Obviously, the result will provide not only the teachers but also the designers of the E-learning systems a better and suitable material or thinking which can really help the learner.