Education big data has recently received wide attention from all walks of life, especially in the college entrance examination volunteering and graduation season. At present, there are many related institutions engaged in educational big data services. How to scientifically view the role of educational big data in individualized learning, professional selection, and rational employment? Today, this newspaper organized some experts and university administrators to conduct theoretical and practical aspects. Explore. --editor Recently, the ofo Xiaohuang car, founded by Dawei Guanghua School of Management graduate Dai Wei, was founded in 2014. The first shared bicycle company in China, the first non-pile shared bicycle travel mode, is dedicated to solving the campus travel and The last mile of the citizens going to work has already completed the D round of financing, and the valuation is huge. The success of shared bicycles is based on mobile app and intelligent hardware development. Combined with today's most advanced cloud computing and big data technology, it is currently the largest campus transportation solution in China, and it also provides convenient and economical benefits for the general public. Green low-carbon bicycle travel service. At the moment, it is the employment season for college graduates. It is also the key time point for students who have just taken the college entrance examination this year to choose a major. Can the education big data give these graduates and prospective college students "what is the door to life?" Education big data can be used Everyone's life is made up of countless choices. So what is big data, education big data is useful, can we provide us with the scientific basis for choice at critical moments? In fact, big data is a relative concept, relative to small data. Big data is not equivalent to a large amount of data, highlighting the cross-fusion of cross-domain data and the flow of data. In terms of data sources, unlike traditional random sampling, big data collection is full-sample, real-time data, which can track all process data of individual growth and provide accuracy at the micro level. The core application value of big data is analysis and forecasting. Google engineers have used big data technology to predict the outbreak of influenza A. Compared with big data in other fields, the uniqueness of educational big data is mainly reflected in three aspects: the collection process is more complicated, the application model is more challenging, and the causal relationship is more focused. Education big data can solve the problem of education in the end? Yang Xianmin, deputy dean of the Institute of Wisdom Education of Jiangsu Normal University, believes that from a big perspective, education big data can help to solve the problem of uneven development of education and solve the monotony of educational methods. The problem solves the problem of extensive decision-making in education; from an individual perspective, it can solve the problem of choosing schools and selecting majors in education, promoting the rationalization of choices, and solving the problem of blindness in education and employment, and helping to rationalize career choices. For example, Yang Xianmin said that you are a fresh graduate of the human resources management profession. You can find out the industry you may be engaged in according to the professional situation through big data, and then compare the average salary level. Next, compare the cost of living in the city to be intent, the income and cost are not much compared, and even consider whether unemployment insurance can maintain a minimum standard of living after unemployment in this city. Including the future if you continue to study in the area where you have the right schools and majors, and even how to find like-minded girlfriends in the area, these functional education big data can provide a scientific reference for your choice. How does the scientific nature of educational big data reflect? Can education big data be scientific? If science can't be guaranteed, isn't it the same as the fortune teller on the street? Even if your life is not good, how can you count it for others? For the reporter's question, Yu Shengquan, deputy director of the Department of Education of Beijing Normal University, said that the “big†of education big data is not a large quantity, but emphasizes the “valueâ€. That is to be able to find relevant connections from the cumbersome data, diagnose existing problems, predict development trends, and play the role of educational big data in improving quality, promoting fairness, achieving personalized learning, optimizing resource allocation, and assisting educational decision-making. The value of science is valuable. There are several major sources of educational big data, including: first, data generated directly during the teaching activities, such as classroom teaching, examinations, assessments, etc.; second, data collected in educational management activities, such as family information, school faculty The third is the data in the teaching and research activities, including the publication of papers, equipment procurement, consumables use, etc. The fourth is the data generated in the campus activities, such as book borrowing, health sports, online access, etc. . Ren Youqun, secretary-general of the Education Informationization Expert Group of the Ministry of Education and professor of East China Normal University, believes that education is purposeful. Education big data does not include all data, because a lot of meaningless “noise†data is generated during the educational activities. Data filtering and cleaning based on the application of education, he particularly emphasized the word "cleaning" in preparation for later deep mining and analysis. “An important shift in the era of big data is shifting from causality to relevance,†says Dr. Victor Meyer Schonberg, an international big data expert, who wants to find a correlation from seemingly unrelated data. For the business world, the focus on correlation mining can achieve the desired goals more quickly and directly. For example, the success of Jingdong and Alibaba is an obvious case. This is also the current number of institutions related to the education of big data, companies engaged in relevant education big data has not come up with convincing results. College entrance examination volunteer big data: "accurate and useful" is king At present, the college entrance examination has entered the era of "big data", and the candidates of the third year of higher education will be more convenient, accurate and effective in the choice of college entrance examination volunteers. Online search for "College Entrance Examination Volunteer", and out of various versions of the college entrance examination volunteers to fill in the report card, Lin Lin has a total of thousands of people, even with a quick and convenient payment and payment of the "some treasure" also opened the college entrance examination volunteers to fill the simulation system. Candidates can receive an analysis report of the college entrance examination as long as they input their own estimated scores, rankings, and professional intent. Undoubtedly, this has greatly improved the accuracy of the college entrance examination volunteers, and it has also brought the convenience of the candidates. However, as a long-term research volunteer, Liu Xin, the person in charge of Chengdu Jingcheng Education, recommends that candidates and parents should dialectically Look at and use the college entrance examination big data. She believes that the data is only a cold number, but the candidates vary widely. Even in the same province, the same gender, the same subject (literary or science), the two candidates with the same score, will also be different because of the different characteristics of the candidate's personality, specialties, future planning and other characteristics. . For example, in 2016, two Sichuan candidates were science males, and the college entrance examination scores were all 671. Because of their different ambitions, one went to Shanghai University of Finance and Economics to study economics related majors, and one went to Tongji University to study civil engineering. Differences in candidates' future career planning directly lead to differences in the way universities are chosen. Therefore, when candidates and parents report the volunteer reference to big data, they must combine the data with the human difference. It is necessary to know that the data is only a tool. Only the most scientific and effective use of the data for the college entrance examination volunteer service is the king. In addition, in the era of "big data", we must pay more attention to the authority of data sources. All kinds of voluntary reporting systems on the market today advertise their "authority and credibility" in the publicity and packaging. Which versions of "big data" are truly authoritative? Liu Xin believes that if you want to truly and effectively report The college entrance examination volunteers, the data reference source can only be the official website of the university or the relevant data of the previous colleges and universities in the province (region, city). Otherwise, there will be considerable deviations in the data. The “big data†issued by many organizations in the society is not known to be changed many times in the middle, and its accuracy and authority are open to question. Therefore, in order to be responsible for the future prospects of candidates, it is recommended that candidates and parents should use the authoritative data published by the local examination institutes, so as not to "calculate" their own direction in the key steps of life. Red Light Therapy is one of the most popular therapies in recent years. 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