How to accurately identify students with financial difficulties in the family?Answers of the Ministry of Education's press conference

Sun Zao, deputy secretary of the Party Committee of Xi'an Jiaotong University.

Cover news reporter Su Yu

On August 30, the Ministry of Education held a press conference to introduce the achievements of students' funding and development since the 18th National Congress of the Communist Party of China. How can universities accurately identify students with financial difficulties in the family? Sun Zao, deputy secretary of the party committee of Xi'an Jiaotong University, answered a question from the cover reporter that the school integrated the digital welcome system with the big data platform and found that the family economic difficulties in the new students were found in advance.

Sun Zao said that Xi'an Jiaotong University relies on student work big data analysis and service platforms composed of student comprehensive affairs management systems, real -time teaching quality monitoring big data platforms and teacher -student comprehensive service hall information systems.

Carry out the "Four Primary" plans for freshmen: Questionnaire front, pre -visitor, pre -investigation, and touches. Before entering the school, conduct a survey of the basic situation of freshmen, understand the situation in advance, conduct field home visits and funding policies for new students in family economic difficulties, guide freshmen to apply for student loans, apply for "green channels", freely apply for difficult subsidies and daily necessities before reporting Essence

He introduced that the school has established accurate students. Since 2006, the school has begun to integrate more than 600 million data from 16 departments to improve the multi -dimensional sources of schools, colleges, counselors, and students with multiple levels of information sources in the school, colleges, counselors, and students. , Multi -level data collection and sharing system.

"Through the full time of students before enrollment, school, and before graduation, the academic, life, practice, scientific research and other aspects of data collection and analysis are used to accurately portray the school's undergraduate students and accurately identify the students. "Sun Zao said that for abnormal situations such as sudden changes in consumer habits, decline in academic performance, and irregular attendance and rest, reminding counselors and class teachers to follow up with difficulty subsidies, academic counseling, employment consulting, psychological assistance and other related tasks in time. Essence

Sun Zao revealed that the improvement of the student's workflow, combining online and offline, making big data a navigator for the help of students in difficulties. Big data analysis and service platforms add about 1.2 million pieces of data per week. Through data permissions management, the student portrait situation and suggestion list of students are pushed to the staff of the colleges and academies as soon as possible to ensure that the identification work is targeted.

In addition, during the application process, the identification results are calibrated according to the student portrait data and class reviews to ensure that the identification work can be based on it. Essence

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