Today's accelerated development of information technology，Use big data to promote the development of the teaching management system of colleges and universities，Improve its scientific research、Teaching、Management quality and efficiency significance is significant，and has gradually become the main trend of the development of colleges and universities。Based on the development and utilization of big data，Promoting the level of information management of teaching management，Get some results，But people also discovered through practical activities，There are still many problems that need to be solved in this field。

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Since the 1990s，The U.S. government has introduced a series of policy measures，Gradually formed institutional incentives and policy support systems for the development of universities。The "National Information Infrastructure Action Movement" released by the United States in 1993 proposes to use education informatization as the basic direction and breakthrough point of American education reform。One of the goals of the "E-Learning National Education Technology Plan" released in 2000 is "Use digital content and the Internet to change teaching"。"Application Information Technology Integration Promoting the Outline of the United States Education Development" released in 2004 emphasizes，To integrate numbers and information technology into teaching and management。In 2010, the United States proposed the use of information technology to reconstruct the education process and structural framework，In 2015, the theoretical framework of education information development was proposed，In 2017, the implementation strategy of education informatization development in rural areas "Success Guidelines: Successful Guide: Personalized Learning Implementation Strategy in Rural areas"，Emphasize Bet365 lotto review through the Internet、Organic combination of technologies such as big data and other technologies and education，Promote the development of education informatization in rural areas。The newly introduced "Application of Promoting Education Technology in Teacher Training" planned by the Federal Government is a special education information reform document promulgated by teachers' education。These policies provide mechanism guarantee for the development of American education informatization。

The United States pays more attention to the top -level design of the informatization construction of universities。To coordinate、Guide the informatization work of universities，Make it fit with the strategic goals of colleges and universities，Established the American Higher Education Information Association，Promote the development and utilization of the information construction and teaching and management data of colleges and universities。The association has launched the "core data service project" as a data sharing platform for American universities，Help higher education institutions to formulate unique information development strategies，Reasonable allocation of information construction resources，Copy related issues。

American education experts think，College management faces increasingly complex and diverse problems and needs to improve quality and efficiency，Traditional management model is difficult to meet relevant needs。So，"Information Campus" needs to be built，Pay attention to the processing of big data related big data。using reliable data processing technology、Digital information and network，Collect、mining、Analysis、Storage college management、Teaching resources and student information such as all kinds of structured or non -structured data，Convert it to effective resources for college management and services，Construction of scientific research、Teaching、Management、Technology、Operation management structure of life service integration，Improve the full process of the operation bet365 best casino games and management of colleges and universities、Smart level。

Maintaining information security and strengthening privacy protection are one of the issues that must be paid attention to in the development of universities，Improvement of data processing and information technology security and reliability is important。The United States attaches importance to students related data security，A number of bills have been issued to require restrictions to collect、Data information of storage and use of children with children，and clearly indicate that when colleges and universities collect and use students' information，Most maybe to ensure data security，Ensure that students' privacy is not illegally invaded。Some universities have established specialized agencies to collect data related to students、Analysis and use activity。There are also some colleges and universities that remove the student's campus card information and all information that can be distinguished by their identity when storing data，Steel a number that has nothing to do with student identity information for storage，and set strict multi -person authorized electronic security secrets，to ensure the security of student data and information。

　　Get some results

Informatization management based on big data provides important platforms and grasping points for colleges and universities to improve management quality and deepen teaching model reform，Integrated the teaching management information system of colleges and universities，Improving the efficiency of the management of colleges and universities，Make relevant colleges and universities get more competitive advantages，Select school for students、advanced study、At the same time as improving results and employment，also allows teachers to better improve the effectiveness of teaching。

First，improved student performance and graduation rate。The United States has a large number of students to stay or drop out of school every year，This is highly criticized。For this，Precise intervention bet365 Play online games in advance for students' academic situation，Help it make up for a short board、Improve academic performance、Normal upgrade and graduation becomes a key link for college teaching management innovation and enhancement of competitiveness。More and more universities use big data technology，Collect analysis of educational resources information、Students' choice of school selection and probability of admission，Observe students' academic performance and problems they encounter，Put forward targeted personalized help solutions。For example，Federal University of Virginia based on big data，Establish a "successful manufacturer" mechanism for each major，To confirm how much credits for students need to graduate and get degree。If the student does not meet the requirements，Student consultants will contact the students and provide consulting services after seeing the system prompts。After this mechanism is put into use for one semester，The completion rate of the school's student course has increased by 16%。Matching students and student counselors by using big data，and help students who encounter difficulties，The graduation rate of students at Arizona State University has increased by 19 percentage points。Some high -tech companies have also noticed related issues。Big data prediction analysis software developed by international commercial machinery companies，You can analyze the scores including student thesis、Learning time、Big data, including family funds,，To determine how many students in each freshman may drop out of school or face the dilemma of academic。

Second，Improve the overall decision -making ability and financial management efficiency of colleges and universities。The application of big data also involves finance、Personnel、Business、Investment、Strategy、Management policy formulation and implementation。Use big data technology，Universities can comprehensively observe their financial and policy implementation，At the same time, the accuracy bet365 live casino games and effectiveness of the investment are improved by digging and analyzing related data，Then improve the financial management status。The University of Barker University has set up the "School Wisdom Plan"，From the Office of the Director of Academic Affairs、Admissions Admissions Director's Office、The three departments of the Office of the Director of Fiscal Assistance Collection Data，It is the financial and human resources related affairs of the whole school、Decision Provide support，Performance at the same time，Tracking research output rate、Research funds use direction and timely discover potential fraud。University of Miami formulated a smart plan based on big data，To understand the source of income from each department、Analyze and optimize financial management。Tavz University uses big data to analyze students' evaluation of teachers。

third，improved the modernization level of college management。The development and integration of big data and the improvement of information management，Not only great simplification、Optimized university management network、framework and chain，allow colleges and universities to better perceive multiple complex information，Perform forward -looking intelligent management，Filled management vulnerabilities; it also helps scientific decision -making and improvement of financial management benefits and overall competitiveness of colleges and universities; it can also strengthen teachers、Information about managers and students、Network、Intelligence cognition，Improve their professional skills、Employment adaptability and competitiveness in the employment market。

　Facing multiple challenges

but but，Develop and use big data in American universities、The practice of improving the level of informationization has also exposed some problems。

First，The consciousness and ability of using big data and Internet technology needs to be enhanced。Improve the consciousness and ability of big data use of college staff，It is bet365 Play online games the prerequisite for effective use of big data to improve the level of management informatization of colleges and universities，But many staff in American universities still lack the consciousness and skills of using technologies such as big data。The development of management informationization of American universities also faces insufficient infrastructure investment、Technical update is not fast enough、Data model does not match、Information integration application is not in -depth, etc.。

Next，Data development and authenticity guarantee to be strengthened。Education network data information is huge、Update quickly and spread between different platforms，This has increased effective collection selection、Reasonable use of information and ensuring its true and reliable difficulty。Some universities use social websites to collect information about admission applicants，But the registration application of some social networking sites is not a real -name system，There are also some applicants who cannot use the Internet often，or you can't often、Proficient in social website，This is easy to cause misjudgment from relevant managers。

again，Big data use transformation level is still to be improved。Only scientifically transform big data into practical tools related to all parties，Can truly play its own role。This requires people to develop a combination of personalization and generalization、Suitable for big data platform products suitable for different universities，Developing such products and providing training and technical guidance for users is more difficult。At the same time, it is necessary to adapt to the information transmission of information at the same time and different departments、The integrated difficulties brought by the source of information for links。

Last，Protecting privacy and information security challenges。Due to the collection of data、Storage、Use involving different subjects and multiple links and not openly transparent，Therefore, it is easy to cause concerns and bet365 live casino games disputes。Private protection and information security have become major problems in data management of colleges and universities。How to improve big data technology，Make it safe and reliable and can effectively integrate the data with a wide range of sources and effectively protect privacy，It is an important challenge that needs to be cope with the need to further promote the reform of management informatization。

(Author Unit: School of Mechanical and Electrical Engineering, Heilongjiang University)