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논문검색

University Teaching and Research and Scientific Research Performance Quantitative Statistics System Based on Web

초록

영어

After implementation of the merit pay, the quantity and quality of teaching staff's scientific research projects, papers and monographs, teaching reform projects, teaching achievements would definitely affects their post promotion and appointment and salary treatment, etc. The current office automation system, education administration management system, scientific research management system mainly focused on daily office use, teaching and scientific research business process and daily affairs processing. It is unable to provide scientific quantification, accurate statistics and decision support for the teaching research projects and scientific research projects. As for these cooperation projects involve multiple majors and departments, repeated recording, repetitive statistics, missing statistics or misinformation are easy to happen and that will affect the statistical results. With all kinds of information of teaching research and scientific research projects (data) doubly increases and constantly changes year by year, there is a tough problem that the university administrator and decision-making departments are facing. How to standardize the entry (or batch import) of research data, and realize multi condition query and dynamic update? And how to realize the implementation of teaching, scientific research merit automatic quantification, distribution according to proportion, and do automatic summation by name. “University teaching and research and scientific research performance quantitative statistics system based on Web “emerges as the times require. This project aims to develop a set of network management system with multiple users and graded rights, which embodies teaching research scientific research project, standardized management, merit points, automatic quantification statistics, data analysis and warning and report output. Its accurate and fast statistical results can provide the decision-making basis for their department annual summary, and parts of the system module can be applied to other universities after slightly modified.

목차

Abstract
 1. Introduction
 2. Design Idea and System Structure of Quantization Statistical Management System
  2.1. Design Idea of Quantization Statistical Management System
  2.2. System Structure of Quantization Statistical Management System
 3. Main Function Modules and Realization of the Quantization Statistical Management System
  3.1. Merit point Quantization of Teaching Research, Scientific Research and other Projects
  3.2. Points Allocation of Projects Like Teaching Research, and Scientific Research
  3.3. Point Statistics for Projects like Teaching Research, and Scientific Research
 4. Conclusion
 Acknowledgment
 References

저자정보

  • Ronghua Lu Jingdezhen Ceramic Institute, Jingdezhen, 333403, China

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