For students and misconduct prevention and control of network analysis system construction.docVIP

For students and misconduct prevention and control of network analysis system construction [Abstract] Today, the network has become the students to explore knowledge, scientific research, exchange ideas, entertainment and an important platform for college students has become a lifestyle and way of life, but also college students network anomie has been increasing, resulting in the the causes, both external factors, but also internal factors in the prevention and control system architecture, and advocacy to promote external fuse combined with endogenous development, network monitoring, career planning, quality development experiential education, counseling, college students prevention and control system of technological innovation into the building for the college network to provide some effective means of moral education. [Paper Keywords] network misconduct prevention and control system Today the network has become the students to explore knowledge, scientific research, exchange ideas, an important platform for entertainment, however, colleges and universities, college students as addicted to the Internet, the network behavior of increasing anomie, the resulting drop-out, weariness is also common , which became the ideological and political education in a thorny but urgent problem, therefore, to build the network anomie prevention and control system is to further strengthen and improve ideological and political education an important part, but also the ideological and political education is facing an urgent and and important task. First, college students network misconduct and forms Misconduct is different from the code of conduct, it is a violation of important norms of social behavior network misconduct is the main act in a network environment to a type of bias, which refers to the network of actors violated certain social norms and the should follow the requirements of the specific conduct, in the virtual space of electronic network behavioral bi