Big data provides support for management work
China's education reform and development are facing unprecedented opportunities and challenges. Driving education modernization with education informatization, cracking the problems restricting the development of education in China, and promoting innovation and change in education is a major strategy to accelerate the progress from a large education country to a strong education country. Big data is a data set that takes more than a tolerable amount of time to capture, manage and process data using commonly used software tools. That is to say that big data is a data set with a particularly large volume and data categories, and such a data set cannot be captured, managed and processed with traditional database tools for its content. Big data as an important reference is changing the government, business decision-making and marketing model, student management in colleges and universities must face the challenge of this change, prospective change of work ideas, the use of all technological means and work methods, to fully explore the value of big data, to provide a variety of support for student management.
Big data can make school management decisions more rational, can more accurately grasp the student learning, life dynamics, the formulation and implementation of policies more scientific; big data can also improve the quality and efficiency of the work of the student management departments, promote work innovation, to the entire student work management system with strong support. The arrival of the big data era will certainly promote the reconstruction of the existing university student management work, which is conducive to strengthening the relevance, dynamics, innovation and foresight of student management work.
The relevance of student management is reflected in the fact that student management in colleges and universities should be close to students' lives and keep pace with the times. The core of the scientific concept of development is "people-oriented", people-oriented in student management means that we should always put students in the core position, student-oriented, all management behavior around the students to start, understanding students, care for students. The management of colleges and universities to further into the lives of students, with a stronger sense of service should be tapped into the big data expressed to the management of colleges and universities of information. Every day each student in the process of using the Internet produces a variety of data, when the amount of data reaches a certain level, it can be summarized and analyzed, mining exploration. For example: through the cafeteria window meal card frequency of use, the use of the amount of data analysis, we can understand the distribution of poor students in schools and adjust the selection and distribution of various types of grants. This kind of targeted data analysis will certainly have a profound impact on the management of students in colleges and universities, bringing a strong impact.
The dynamic change of student management is reflected in the student management of colleges and universities to keep up with the dynamics of students, one step ahead. College students are dynamic, the world view, outlook on life, values are in the formation period, thinking and behavior presents the characteristics of rapid change. Then the student management mode of colleges and universities if still follow the dogmatic, closed, one-way compulsory mode, will certainly go to the bottleneck; now the student management should pay attention to the changes in the life of college students, take the initiative to play the role of public opinion of the big data, and analyze the real demands reflected in the big data in order to realize the dynamization of student management. For example, through the analysis of students' WeChat circle of friends, school bbs and posting bar in the selection of this time period data analysis, students' main questions are around the public *** elective course teachers, courses, etc., then the student teaching management system can be public elective course teacher introduction, course introduction sorting and compilation, to provide evidence for the students to select the course. Through the analysis of big data, it can realize the dynamic management of one step ahead.
Innovative change in student management is reflected in the student management work in colleges and universities to meet the needs of students and push forward. The focus of innovation in student management in colleges and universities is to analyze and study the management content, management methods, etc. according to the requirements of the times, and make necessary adjustments and improvements on this basis. Then what is the basis for adjustment and improvement, which is the analysis of big data. In fact, big data is not far away from us, in addition to the Internet search data, everywhere you can see the camera, the increasingly popular cell phone Internet access are generating huge amounts of data. If we can make good use of these data, in adjusting and formulating student management regulations, reference to the information brought to us by big data, with the needs of students as the first priority, will certainly bring a different atmosphere to the student management work in colleges and universities.
The forward-looking change in student management is reflected in the student management of colleges and universities to actively face student emergencies, accurate prediction. All along, the safety and stability of colleges and universities is the top priority, for student management emergency response requires managers to be prepared for danger and prepare for a rainy day. By collecting, organizing, accurately analyzing and integrating the footprints and hotspots left by students in the process of using the Internet, accurate prediction can be proposed, which is a new starting point for student management work in colleges and universities. If accurate prediction can be made before emergencies and gradually replace statistical descriptions afterward, providing forward-looking guidance before problems occur so as to effectively avoid risks, it can undoubtedly dramatically improve the efficiency of student management work and the quality of service.
In the era of big data, the data integration and utilization of student management should also overcome the shortcomings of traditional education management, and on the basis of collecting, organizing, and analyzing the massive amount of data on student education, the results of the analysis, combined with the changes in education conditions and student characteristics, should be used to establish a responsive, convenient and efficient education management model. First, big data technology can be used to establish an early warning mechanism for student management and targeted intervention and regulation of emergencies. Through the analysis of students' one-card use records, library borrowing data, dormitory accommodation records, and data obtained from students' WeChat, QQ space, browsed web page addresses, search engine keywords, etc., students' thoughts and behavioral dynamics can be monitored in a timely manner, so as to carry out targeted education and management and problem diversion for students. Secondly, through the massive collection of student data, analysis and excavation of students' thoughts and behavioral changes, and according to the characteristics of students' majors, ages, personalities and other characteristics of the classification guidance, to provide learning reference, emotional guidance, and employment counseling for the thousands of different students. This kind of personalized education and management can promote college students to gradually correct their mistakes and avoid risks in learning and practice, thus urging student administrators in universities to change their concepts, emphasize service rather than management, and build a personalized university conducive to the growth of youth.
The advent of the big data era is both an opportunity and a challenge for student management in colleges and universities, student management workers in colleges and universities must make scientific use of data analysis technology, actively respond to the changes faced by student management in the new era, in-depth exploration of the laws of student management work and ****, innovative solutions to a variety of problems, and provide strong support for the continuous enhancement of the level of management of students in colleges and universities. The above is the first step in the development of the student management system.
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