You've been going to bed early and waking up early, but you've been going to bed late and your roommates are excited to get up and get going. The first thing you need to know is that you're not going to be able to get away with it, and you're not going to be able to get away with it," he said. It would be great if a few friends in the same dormitory were "night owls" or loved to get up early. Such a good wish has become a reality for some undergraduates in the class of 2017 at NTU.
New initiative: newborns are divided into dormitories according to "similarity"
Xia, a freshman in the engineering experimental class at NU, told reporters that the university dormitory is completely different from what she had imagined before she enrolled. "Before I came to report, I quietly find my sister inquired, said in accordance with the family name strokes row dormitory, hostel aunty standing dormitory door shouted 'x students', four people in the dormitory at the same time looked up and agreed to 'alas'. "
Who knows, Xia Xia dormitory four girls not only name "not even number", even from the provinces are not the same. "Our dormitory four girls are from different provinces and cities, I'm from Jiangsu, that is, Nanjing, the other three students in the dormitory were from Zhejiang, Beijing and Shandong." Place of birth is not the same, the name is not the same, these four girls why can row together, arranged in the same dormitory?
Thinking about it for a long time, Xiaoxia and her roommates found the answer before going to bed at night, "Before going to bed at night, we found everyone's **** the same point: sleep time are not early, rest and relaxation are a bit of a 'night owl'." Xia Xia dormitory of four girls, every night almost all in 11:30 to sleep, the morning wake up time is not too much, "six thirty get up, to the university to the same to study, which can sleep lazy."
Soon, Xiaoxia and her roommates "mingled", "we also like to clean, and even life is a little bit of cleanliness, like to use their own things, bathing and washing clothes are diligent to not." Xiaoxia's concerns about the dormitory before the start of the school year have dissipated, "I was worried, I'm used to going to bed late, in case I get a roommate who goes to bed early, will we argue. Now it seems that, hey, the school so arranged for us is not bad."
High-tech: big data analysis of new students' personal information
Not only Xiaoxia's dormitory, the order of the number of students and dormitory arrangements for the class of 2017 at Nanda University, almost all of them are in accordance with the living habits of the students, hygiene characteristics, learning characteristics and other "personal elements" to " The students who have similar living and study habits are more likely to be "serialized" and placed together.
The premise of "merging like items" is based on the school's "mapping" of the new students' personal habits. The reporter saw such a questionnaire in the Office of Academic Affairs of the University of South, which is divided into "night rest time" "morning wake-up time" "the average frequency of laundry change". "Your attitude towards the dormitory *** with consumption" and other options. Freshmen need to fill in the questionnaire according to their own personal situation. At the same time, the Office of Academic Affairs also guarantees at the end of the questionnaire that it will not disclose the personal information of the freshmen.
This year was the first time that NTU piloted the use of the accommodation matching system among freshmen, surveying some of them about their habits. Freshmen who were not surveyed still followed the principle of random assignment. "We collected 800+ freshmen's work and rest schedules, hygiene habits, study characteristics, social preferences, and some other personal questions through the system's survey to help assess the similarity of the freshmen." Mr. Guo of the Academic Affairs Office introduced that after collecting students' personal information, the information is analyzed through the mode of big data organization.