An Empirical Research for Strengthening the Protection of University Students' Protective Value Attitude Bases on Clustering-Discriminant Analysis Model of Network Honesty Evaluation System

As a new type of media, with its unique way of carrying and spreading information and knowledge, Internet provides a rich quick and rich interactive platform for interpersonal communication. It has far-reaching impact on University students' thinking style, behavior patterns and value attitude; it also gravely challenges university's moral education work in our country at the same time, especially network honesty education for university students. Under the network circumstances, it is a decision-making process for students to choose to be honesty or not, in which students' protective value attitude will have direct impact on behavior choices. The most important purpose for establishment of honesty evaluation system is to provide an effective carrier for universities to develop network honesty education, so that there will be a better solution for university students' dishonesty problems. Hence, this article tries to establish a network honesty evaluation system bases on Cluster-Discriminate analysis model, to restrain and regulate students' behavior, so that the situation of lacking of honesty can be changed.