Network Teaching Platform Based On The Content Management System Designed And Implemented

The work of university teachers has always science and innovation support and attention by the school, teachers, scientific research work is to evaluate the ability of teachers important standard. Workload for teachers, scientific research institutions of higher learning has its own method of calculating the direction of the research focused on measurement are different, scientific research institutions of higher education for the workload calculation is a very important job, research a fair amount of work calculated ,﹑ reasonably accurate scientific research directly affects the enthusiasm of teachers, the school impact research results.The topics to measured statistics to support university research system design and implementation of the system as background, the use of the popular B / S model, using PHP language design technology, using MySQL database. Management of the entire system by the WEB. Teachers on research projects, research awards, papers, books, patents, economic and social services, to guide students and other award-winning research work on behalf of the seven modules of the information reported, the system is calculated, analyzed, and teachers in a relatively fair quantitative data research workload. The system with the traditional teacher different scientific management system, the system is to quantify the teacher focuses on the research capacity of academic standards. In time, effort, manpower, material resources and the practical effect of reducing both the workload of teachers in the calculation of the research will certainly help.This paper introduces the research work in the background measurement, meaning, the status quo. Proceeds according to the actual needs of research was proposed based on statistical measurement WEB-university research support system design and implementation of methods to analyze the feasibility of the system is discussed and introduced the related theoretical knowledge of system security, scalability and other aspects of operational testing. Identified problems and proposed solutions.