The hottest big data era makes learning and life m

Lei chaozi, director of the Department of science and technology of the Ministry of education, stressed at the university big data application seminar held by Beijing Normal University that colleges and universities should fully understand the significance of big data and lead educational reform and innovation with the deepening application of big data. The 2030 development goal of educational modernization requires the establishment of a modern education system in the information age, which will inevitably lead to profound changes in educational ideas and models. The country will launch education informatization 2.0, which requires three changes: from special resources for education to large resources. 1. Development and application of needle printers for pressure testing machines, from improving application capabilities to improving information quality, and from integrated development to innovative development. The unreasonable spatial layout of the canteen and other factors have led to the crowded dining situation as soon as it arrived, which once made teachers and students of Beijing Normal University quite scratching their heads. In the process of solving this problem, big data shows its strength

school leaders attach great importance to the role of big data analysis in the site selection of the canteen. From November 2 to 3, we used relevant data such as class scheduling, campus card consumption, canteen and seat distribution to conduct a comprehensive analysis. It is suggested to optimize class scheduling, improve the price mechanism, and conduct personnel diversion. At the same time, a new canteen is built in the eastern part of the school to increase seats, strengthen the rationality of layout, and effectively alleviate the problem of dining congestion in the canteen. Liu Zhen, director of the information network center of Beijing Normal University, said

lead education reform and innovation with the deepening application of big data

help canteen location, which is only an epitome of big data application in university management decision-making. On November 3, Lei chaozi, director of the Department of science and technology of the Ministry of education, stressed at the university big data application seminar held by Beijing Normal University that colleges and universities should fully understand the significance of big data and lead educational reform and innovation with the deepening application of big data. The 2030 development goal of educational modernization requires the establishment of a modern education system in the information age, which will inevitably lead to profound changes in educational ideas and models. The country is going to launch education informatization 2.0, which requires three changes: from special resources for education to the development and application of large resources, from improving application capacity to improving information quality, and from integrated development to innovative development

in Lei chaozi's view, education big data helps promote education equity and achieve targeted poverty alleviation; It helps to promote information management and realize scientific decision-making; It is helpful to accelerate the reengineering of teaching process and improve the quality of teaching; It helps to promote large-scale personalized education and teach students in accordance with their aptitude. It is hoped that colleges and universities, based on the big data application alliance of colleges and universities built by Beijing Normal University, will seriously discuss the important role of big data in education management, education and teaching research, especially in the development of education reform, with the structural capacity of portal UTM experimental machine up to 1000~135000 lb

Beijing Normal University has carried out a lot of exploration and practice in the construction and application of big data. Chen Li, vice president of Beijing Normal University, introduced that the University launched a table project in 2009, built a school affairs data management platform in 2013, a school affairs data management center in 2016, and a campus big data platform in 2017. It has carried out a lot of fruitful exploration around data-based scientific decision-making, accurate management, and intelligent services

Chen Li believes that more and more data brings more and more possibilities. Big data has great potential for improving the modernization of educational governance. Using big data of colleges and universities to improve the governance level of colleges and universities, and even the whole higher education, is an inevitable choice to realize the modernization of educational governance ability. At the same time, college big data is a complex project, which requires synchronous reform of technology, management and policy

it is hoped that through the establishment of educational big data alliance among colleges and universities, they can jointly exchange experience and explore laws, so as to promote the development of educational big data in Colleges and universities faster. Chen Li appealed

colleges and universities actively layout the construction and application of big data

there is a close relationship between the tensile value and the gauge distance in the tensile specimen of rubber materials

not only Beijing Normal University, but also many domestic colleges and universities actively seek layout in the construction and application of big data. Zhang Dengyi, director of the network information center of Wuhan University, introduced that by means of social recruitment, the center introduced professionals, established a big data analysis and application technology team, and dispatched various functional departments of the university to help sort out needs and do a good job in various services and secondary development

at present, big data analysis and application work has been carried out in student behavior track query and analysis, student comprehensive early warning, etc. Zhang Dengyi said

Xu Weisheng, director of Tongji University Information Office, has in-depth thoughts on the master data governance of university personnel. He believes that the goal of master data governance of university personnel is to promote the modernization of school governance system and governance ability, and improve the level of performance management and precision management through effective master data governance

network security in the big data environment is also a topic of great concern. He Haitao, director of the network and information technology center of Sun Yat sen University, analyzed typical cases of network security in Colleges and universities, emphasizing the important role of big data in network security and network performance improvement

big data analysis behavior trajectory provides guidance for students' learning behavior

through the analysis of students' behavior trajectory, you will find the internal relationship between some seemingly unrelated events, and then provide guidance for students' learning behavior

through big data analysis, Beijing Normal University found that the higher the academic performance, the greater the proportion of students eating in the canteen, especially breakfast; The better the students' academic performance, the greater the proportion of using PC, and the traffic on PC is relatively small; The better the students' academic performance, the more times they stay in the teaching building; With the increase of grades, the performance gap between dormitory members is getting smaller and smaller

experts participating in the above research said that it can be seen from this that sufficient study time, good habits, regular work and rest and eating habits, as well as a good dormitory learning atmosphere, are conducive to students' improvement of academic performance