Exploitation Research Recruit Students Manage And Analyze System In Altitude Academy

With the development of the reform of college recruiting students system and more students enter colleges, a mass of recruiting data needs to be processed. In order to realize scientific and modern management of college recruiting, it is essential to update and better the ways of students recruiting. As a result, it is needed to develop a set of comprehensive and applicable recruiting management system software to reduce recruiter's workload, improve work efficiency and guarantee the data veracity and integrity. The main function of College Network Recruiting Management and Analysis System is to link the Network Recruiting System with the College Information Management System, at the same time, to provide decision-making and analyzing data for recruiting information processing.Nowadays, it is absent that connects the College Student Management System to Computer Remotely Recruiting System. Therefore, it is necessary to develop intermediary software to accomplish network recruiting and integrate the College Management Information System. According to the specific situation of one college, adopting CNRMAS will make college recruiting and student management scientific and standardized.CNRMAS is one kind of management software that is developed according the model of college recruiting management. The functions of CNRMAS include recruits information input, class creation, classification before registering, registering management, classification after registering, supplement recruiting, student recorded information browse, recruiting information analysis and recruiting forecasting.CNRMAS is an assistant to recruiter, through which recruiters can obtain the information about new students, new class and recruiting statistical data used in the process of recruiting.The implementation of CNRMAS has lots of advantages as following: Combining the College Student Management System with College Network Recruiting System closely by setting data access and sharing rich data information; Analyzing recruiting data and providing evidences for recruiting forecast and decision making using decision making model through scientific...