Big data portraits help college freshmen grow
In 2020, the freshmen big data released by each school has aroused the attention of all circles inside and outside the school.
Throughout these freshly released data analysis, the distribution of birthplaces, male to female ratio, ethnic situation, and even height and weight are all included, comprehensively and characteristically drew a portrait of the "cute".
So, what information can be read out by the new big data in 2020, and what role can it play in the future enrollment and training links?
The reporter conducted an interview.
Let freshmen know each other better
Before the long holiday of "October" in 2020, Beijing Institute of Technology has already pushed the big data of freshmen on the official WeChat account, counting the hometowns of students from the east, west, south and north, and the proportion of men and women who are concerned about the students. A more detailed explanation was made, including the overall ratio of men to women, the conditions of each province, and each major. It is easy for "Mengxin" to understand their own situation and compare them.
A 14-year-old freshman and Zhang Liangxiu from the Special Academy said: “I pay attention to all aspects of big data. What is more attractive is the ratio of men to women. Today, I have been helping seniors and sisters as a welcome volunteer. The freshmen students think it can reflect the ratio of men to women in BIT; they also pay more attention to the provinces they come from. For example, my senior sister is from Chongqing. She said that the food that is not spicy is too spicy for me, and I am very impressed. The students from all over the world study together and hear all kinds of accents. It is really interesting and a sense of novelty."
"In 2020, the enrollment scale of undergraduate students in the school is 3700. The biggest feature is the improvement in the quality of science and engineering students. It can be seen from the lowest admission scores and rankings of the provinces, which are both higher than in 2019. In addition, it is also reflected in the The students are very enthusiastic about applying for the'new engineering' majors, such as big data, artificial intelligence, electronic information and other related subjects. During the admission process, the school tries its best to meet the students' willingness to fill in,'zero withdrawal, zero adjustment', the top three The satisfaction degree of each major is more than 80%, which basically meets the volunteer needs of the students." Xu Jian, director of the admissions office of Beijing Institute of Technology, used three "high" to interpret the information behind big data.
Xu Jian said: “Our data also publishes weight. It may be one of the few colleges and universities in the country that publishes weight in freshmen big data. The average height of freshmen we enroll every year is increasing, which reflects the improvement of our living standards. , And the weight data is generally more symmetrical with the growth rate of height. It can be seen that current middle school students pay more attention to sports and physical fitness than before."
Read out the sense of belonging and inclusion
Beginning in 2015, some colleges and universities have begun to release big data for freshmen. In the following five years, more and more colleges and universities joined the team to expose freshmen data.
The focus of the data itself also reflects the changes in educational concepts: from the initial focus on groups to more attention to individual students; from the beginning, the focus was on admissions and distribution of students to more attention to students’ physical fitness and interests.
"I pay more attention to everyone's hobbies and professional development direction." said Wang Jiahe, a freshman of BIT Ruixin College. "I want to know the life plans of other students, and see if you have the same thing and can make like-minded friends. Through big data, I found that many classmates have the same hobbies and specialties as mine. For example, I like Go and trombone. There are also many students who like chess and musical instruments in the school. In the future, I might be able to participate in Go games and play together. In addition, There are also many students who have overlapping professional interests. I hope we can communicate together, promote each other, and grow together."
"Big data is calculated based on the raw data of freshmen. We release big data for freshmen. We still want everyone to have a sense of belonging. Freshmen will soon become a member of BIT. Seeing this label, they can feel the school’s With unique characteristics, they can quickly integrate into the new collective, and have a sense of identity. I hope that the "Mengxin" can integrate into university life as soon as possible, find their own way, and grow step by step." Xu Jian explained the production and release of the big The original intention of the data.
Xu Jian said that big data for freshmen is also a window to show school culture: "We actually want to dig out more about student's specialty when we produce and publish big data. Therefore, hobbies and competition awards are all statistical factors in statistics. Through the data, we can also see that the current classmates are versatile, and there are more and more students who can play piano, chess, calligraphy and calligraphy, and have specialties in sports. It can be seen that the overall quality of students has improved."
Lots of use for the future
In addition to satisfying the curiosity of students, what other effects can freshmen big data play?
Ma Luting, a researcher at the Education Development Research Center of the Ministry of Education, believes that big data for freshmen has three main functions: one is to provide reference for formulating macro education policies, the other is to facilitate schools to carry out education and teaching work according to the situation of freshmen in a targeted manner, and the third is to help freshmen People of the same age should better identify self-positioning and grasp their own development direction by taking advantage of their strengths and avoiding weaknesses.
"Now is an era of data. Data has a fundamental role in our work. Many trends can be analyzed from the data and provide an important basis for formulating education policies. For example, from the area of students, urban and rural distribution, we can consider how to better promote Education is fair. For example, when everyone observes that the proportion of rural students in 985 colleges and universities is declining, it may be necessary to consider appropriately increasing the special enrollment plan in rural areas.” Maluting analysis, “Through big data, we will see what we have in education. What are the strengths, so as to reflect on whether there is something worthy of adjustment in education methods."
For schools, big data helps to arrange education and teaching activities in a targeted and targeted manner, and to better pay attention to the growth of students. This 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 student height data, so that students can feel the school's care.
Maluting also pointed out that different schools can also be compared horizontally through big data. For example, comprehensive universities and engineering-based schools may have differences in gender ratios and student sources, and understanding this difference will help schools continue their own characteristics and further development. .
"For another example, if the ethnic composition is more diverse, the school will consider the management and organization methods, including the arrangement of food, so the school will also'find itself' through the data."
"Such data has also increased the students' sense of closeness, identity and honor. Students can consider how they can grow better in the group. Young people often think about what part of the group I belong to when living in a group? My advantages What is it? What are my disadvantages? I will re-plan my campus life, especially for students who are just entering school. The emergence of big data makes this thinking more rational." Ma Luting said.