Details of Research Outputs

In recent years, China's education standardization work has been continuously strengthened, and a series of educational standards have been formulated and implemented, which have played an important role in regulating, leading and guaranteeing them.at the same time, Compared with the practice of education reform and development and the needs of education modernization, Education standardization work still exists the formulation of standards is not scientific and standard, the organization and implementation of standards are not used to often and other problems, The main performance is: the standard consciousness is not strong, The concept of standards has not yet been established, Has not yet formed everything has a standard, according to the standard of handling habits; The standard system is not yet perfect, There is still a gap in the standard supply, Lack of standards in some key areas; The standard formulation mechanism is not perfect, The standardization of standardization work should be further improved; The standard quality still needs to be improved, Dynamic adjustment mechanism is not sound, Some standards have aging problems; Implementation of the standards needs to be increased, The implementation mechanism is still not yet perfect; The international influence of educational standards is not yet strong, International recognition is not high, This paper uses deep learning algorithm to merge the basic information of college students, The accuracy prediction and analysis of the poor students, It plays a very good auxiliary role in the subsequent identification of poor students.