In 2020, the freshman big data released by various schools attracted the attention of all walks of life inside and outside the school. Looking at these newly released data analysis, the distribution of students’ places of origin, the ratio of male to female, the ethnic situation, and even the height and weight are all included, and the "Meng Xin" people are comprehensively and characteristically painted. Then, what information can be read by the new big data in 2020, and what role can it play in all aspects of enrollment and training in the future? The reporter conducted an interview.
Let freshmen know each other better
Before the "Eleventh" holiday in 2020, Beijing Institute of Technology has pushed the new big data on the official WeChat account, counted the hometown of students from the east, west, south and north, and also made a more detailed description of the ratio of men and women that students pay attention to, including the overall ratio of men and women, provinces and majors. It is easy for "Meng Xin" to understand their own situation and compare them.
Zhang Liangxiu, a 14-year-old freshman from Teli College, said: "I have paid attention to all aspects of big data. What is more attractive is the ratio of men to women. I have been helping seniors and sisters to welcome new students today, which can reflect the ratio of men to women in Beijing Institute of Technology very much; I also pay more attention to the provinces where my classmates come from. For example, my senior is from Chongqing, and she said that the food that is not spicy is too spicy for me to eat, which is particularly impressive. It is really interesting to study with students from all corners of the country and hear all kinds of accents, and there is a sense of novelty. "
"In 2020, the enrollment scale of undergraduate students in the school is 3,700. The biggest feature is that the quality of science and engineering students has improved. It can be seen from the lowest scores and rankings of admission scores in various provinces, which are all higher than in 2019. In addition, it is also reflected in the students’ attitude towards ‘ New engineering ’ Majors, such as big data, artificial intelligence, electronic information and other related disciplines, are very enthusiastic, and the school tries its best to satisfy students’ willingness to fill in the report during the admission process. ‘ Zero shift, zero adjustment ’ The satisfaction of the first three majors is over 80%, which basically meets the volunteer needs of students. " Xu Jian, director of the Admissions Office of Beijing Institute of Technology, interprets the information behind big data with three "highs".
Xu Jian said: "Our data also published the weight, which may be one of the few universities in China that published the weight in the freshman big data. The average height of the freshmen we enroll every year is increasing, which reflects the improvement of our living standards, and the weight data is generally proportional to the growth rate of height. It can be seen that the current middle school students pay more attention to sports and physical fitness than before. "
Read the sense of belonging and integration
Since 2015, some colleges and universities have begun to release big data of freshmen, and in the next five years, more and more colleges and universities have joined the team of drying new data. The focus of data itself also reflects the change of educational concept: from paying attention to groups at the beginning to paying more attention to individual students; From the beginning, we mainly paid attention to the admission situation and the distribution of students, and paid more attention to students’ physical fitness and interests.
"I pay more attention to your hobbies and professional development direction." Wang Jiahe, a freshman at Ruixin College of Beijing Institute of Technology, said, "I want to know the life plans of other students, see if we have any intersection, and whether we can make like-minded friends. Through big data, I found that many students have the same hobbies and specialties as me. For example, I like Go and trombone. There are also many students in the school who like chess and musical instruments. Maybe they can participate in Go competitions and play together in the future. In addition, there are many students with overlapping professional interests. I hope we can communicate together, promote each other and grow together. "
"Big data is counted by the original data of the freshmen. We release new big data, or we want everyone to have a sense of belonging. Freshmen are about to become a member of Beijing Institute of Technology. Seeing this label, they can not only feel the characteristics of the school, but also quickly integrate into the new big group, and have a sense of identity. Hope ‘ Mengxin ’ Students can integrate into university life as soon as possible, find their own way and grow step by step. " Xu Jian explained the original intention of making and publishing big data.
Xu Jian said that freshman big data is also a window to show the school culture: "We actually want to tap more students’ specialties when making and publishing big data, so hobbies and competitions are statistical factors. Through the data, we can also see that today’s students are versatile, and there are more and more students who can play chess, calligraphy and painting, and have sports specialties. It can be seen that the overall quality of students has improved. "
Future-oriented and useful
In addition to satisfying the curiosity of students, what role can freshmen’s big data play? Ma Luting, a researcher at the Education Development Research Center of the Ministry of Education, believes that freshmen’s big data has three main functions: first, it can provide reference for formulating macro-education policies; second, it is convenient for schools to carry out education and teaching work according to freshmen’s situation; and third, it helps freshmen to better identify themselves among their peers and grasp their own development direction by making full use of their strengths and avoiding weaknesses.
"Now is an era of data. Data plays a fundamental role in our work. Many trends can be analyzed from the data, which provides an important basis for formulating education policies. For example, from the regional and urban-rural distribution of students, we can consider how to better promote educational equity. For example, when we observe that the proportion of rural students in 985 colleges and universities is declining, we may consider appropriately increasing the special enrollment plan in rural areas. " Ma Luting analyzed, "Through big data, we will see what shortcomings and strengths we have in education, so as to reflect on whether there are places worthy of adjustment in educational methods."
For schools, big data helps to arrange education and teaching activities in a targeted and targeted manner and pay more attention to students’ growth, which has been reflected in the orientation of some schools this year. For example, some schools take the initiative to prepare extended dormitory beds for tall students through the height data of students, so that students can feel the concern of the school.
Ma Luting also pointed out that different schools can also make horizontal comparisons through big data. For example, comprehensive universities and engineering-oriented schools may have differences in gender ratio and students source, and understanding this difference will help schools to continue their own characteristics and further develop. "For another example, if the ethnic composition is more diverse, the school will consider the management organization, including the arrangement of diet, so it will be ‘ Find yourself ’ 。”
"This kind of data also increases students’ sense of closeness, identity and honor, and students can consider how he can grow better in the group. Living in a group, young people often think: which part of the group do I belong to? What are my strengths? What are my weaknesses? And will re-plan their campus life, especially for students who have just entered the school. The emergence of big data makes this thinking more rational. " Ma Luting said.