China's "Development Planning for Education Informationization (2011-2020)" puts forward: China's education reform and development are facing unprecedented opportunities and challenges. Promoting education modernization with education informatization, solving the problems that restrict the development of education in China, and promoting innovation and reform of education are major strategies to accelerate the transition from a large educational country to an educational power. Big data is a collection of data that uses common software tools to capture, manage, and process data in excess of the tolerable time. That is to say, big data is a data set with a particularly large volume and a particularly large data category, and such data sets cannot be crawled, managed and processed by traditional database tools. Big data as an important reference is changing the decision-making and marketing model of the government and enterprises. The student management of colleges and universities must face the challenges of this change, forward-looking changes in work ideas, and use all technical means and working methods to fully exploit the big The value of the data provides a variety of support for student management.
Big data can make school management decisions more rational, more accurately grasp student learning and life dynamics, and formulate and implement policies more scientifically; big data can also improve the quality and efficiency of each student management department, promote work innovation, and give the whole The student work management system is strongly supported. The arrival of the era of big data will certainly promote the reconstruction of student management in existing universities, which will help to strengthen the pertinence, dynamic, innovative and forward-looking of student management.
The targeted change in student management is reflected in the fact that student management in colleges and universities should be close to student life and keep pace with the times. The core of the scientific concept of development is “people-oriented†and human-oriented. Nowadays, student management means always placing students at the core position, student-oriented, all management behaviors are centered around students, understanding students and caring for students. The management of colleges and universities should be further affixed to the lives of students. With a stronger sense of service, it is necessary to mine the information that big data expresses to the management of colleges and universities. Every student has a variety of data in the process of using the Internet every day. When the amount of data reaches a certain level, it can be aggregated and explored. For example, through the use of the dining room window, the use of the amount of data analysis, we can understand the distribution of poor students in the school and adjust the selection and distribution of various scholarships. This targeted data analysis will have a profound impact on the student management of colleges and universities, bringing a strong impact.
The dynamic change of student management is reflected in the fact that the student management work in colleges and universities must keep up with the students' dynamics. College students are full of vitality, and the world outlook, outlook on life, and values ​​are all in the formation stage, and their thoughts and behaviors are characterized by rapid changes. Then, if the student management model of colleges and universities still follows the dogmatic, closed, and one-way mandatory mode, it will surely go to the bottleneck; now the student management should pay attention to the life changes of college students, take the initiative to play the public opinion role of big data, and analyze the reflection of big data. The real appeals are made to realize the dynamics of student management. For example, through the analysis of the student WeChat circle of friends, the school BBS and the post bar during the time period of the course selection, the main questions of the students are teachers and courses around the public elective course, then the student education management system can be the teacher of the public elective course. Introduction, course introduction and compilation, to provide evidence for students to choose courses. Through the analysis of big data, one-step dynamic management can be realized.
The innovative change in student management is reflected in the student management work in colleges and universities to meet the needs of students and to innovate. The focus of university student management innovation is to analyze and study management content and management methods according to the requirements of the times, and make necessary adjustments and improvements on this basis. So what is the basis for adjustment and improvement? This is the analysis of big data. Big data is not far away from us. In addition to the data searched on the Internet, the ubiquitous cameras and the increasingly popular mobile Internet are generating massive amounts of data. If we can make good use of these data, we should refer to the information that big data brings to us when we adjust and formulate student management regulations. Taking students' needs as the top priority, it will bring a different atmosphere to the student management work of colleges and universities.
The forward-looking changes in student management are reflected in the student management work in colleges and universities actively facing student emergencies and accurate predictions. All along, the security and stability of colleges and universities is a top priority. For the emergency management of student management, managers are required to be prepared for danger and prepared for the rain. Through the collection, sorting, accurate analysis and integration of the footprints and concerns of the students in the process of using the Internet, accurate predictions can be made. This is a new starting point for the management of college students. If you can accurately predict and gradually replace the post-mortem statistical description before the emergency, and provide forward-looking guidance before the problem occurs, effectively avoiding risks, it will undoubtedly greatly improve the efficiency of student management and service quality.
In the era of big data, the data integration and utilization of student management should also overcome the shortcomings of traditional education management. On the basis of carefully collecting, sorting and analyzing the massive amount of student education data, the results of the analysis will be combined with educational conditions. Changes in student characteristics, etc., establish a responsive, convenient and efficient education management model. First, you can use big data technology to establish an early warning mechanism for student management and targeted interventions to regulate emergencies. By analyzing the student's card usage records, library borrowing data, bedroom accommodation records, and data obtained by students on WeChat, QQ space, visited web address, search engine keywords, etc., students' thoughts can be monitored in time. And behavioral dynamics, so that students can be educated and problem-oriented. Secondly, through the massive collection of student data, the analysis of the students' thoughts and behavior changes, and according to the students' professional, age, personality and other characteristics of the classification and guidance, for a wide range of students to provide learning reference, emotional guidance, employment counseling. This kind of personalized education management can promote college students to gradually correct mistakes and avoid risks in learning and practice, so as to urge university student managers to change their concepts, focus on service and light management, and build a personalized university that is conducive to youth growth.
The advent of the era of big data is not only an opportunity but also a challenge for the management of students in colleges and universities. Student management workers in colleges must scientifically use data analysis technology, actively respond to the changes in student management in the new era, and explore the laws in student management. And commonality, innovatively solve various problems, and provide strong support for continuously improving the management level of college students.
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