Research On The Application Of Data Mining Technology In Educational Management In University

Educational management in higher education institutes is a complicated but important job, which it link directly the teaching achievement. Various aspects of university management, such as the efficient organization structure, allocation of human resources and the educational administration information control etc, are included in the working content of university education management.With the spread of the national education, college enrollment expansion result in the increase of the number of the students and the establishment of credit system, this brings the difficulties and complications to the educational management of university. In order to improve the quality and efficiency of university educational administration work, most of the university in China has established the educational management.After researching on the educational management for many universities, the thesis points out most of these systems own the teaching evaluation module, online course selecting system, grade management module, graduation audit module, online registration module, etc. The systems have basic function. However, on the aspect of efficient and decision analyses are inadequate,which causes the working procrastination of educational management of university. Therefore, the key task in this thesis is that illustrates how to enhance the efficiency of educational management of university via the application of data mining technology.Through the profound analysis on the relevant knowledge of data mining, relevant methods of data mining is applied to solve the problem of educational management system in this paper, so as to make the relevant management personnel can timely understand the relevant information in the complex problems, providing solution for further decisions.Researching on the relevant theories and algorithms of data mining is the main task for this thesis and the emphasis is to research the clustering algorithm, sorting algorithms, association rule. This thesis tries to make full use of the advantages of the data mining related algorithms to educational management in university as well as found the problems and principles by the supporting of data of educational management in university. On the basis of which carries out the data analyzing function in the educational management system. And it designs and implements the new student management system by employing the data mining tool.Grade management system in the educational management system plays an important role in the cultivation of excellent student process. So the data mining is important for the Grade management of university. This thesis analyzes the various learning situations for every point of knowledge in every paper. For that establishes a disaggregated model and apply to the practice test for the fresh man. It can teach students in accordance with their aptitude and will enhance the teaching quality.At the end of the thesis, it accomplishes the establishment job of educational management with combining the advantages of C/S, B/S module.The C/S,B/S mixed model not only can enhance the decision-making level of educational management of university, but also make the most of various resource with the university, which can build an modern technological campus environment. The classical Apriori also is used in the administration system, which can reasonably arrange many teachers in colleges and universities, provide the condition for the course and the sequence of the classroom. Colleges and universities in educational administration system are emphatically analyzed the data mining process of the course gradeNowadays, the application of college educational administration management system is very important, so this topic of this thesis has very important significance. In this paper, by using data mining method to improve college educational administration management system, improves the university school of management decision-making ability. Based on data mining technology in the practice of the teaching management in colleges and universities, thus have a further exploration for the data mining.