大數據精準扶貧 高校偷偷給貧困生飯卡充錢

More than 300 impoverished students get tailor-made financial support with the help of big data technology at a university in South China, reported .

近日，根據澎湃新聞報道，中國南方的一所學校利用大數據技術，根據該校300多名貧困生的實際情況爲他們提供特定的補貼款。

The Nanjing University of Science And Technology Education Development Foundation deposited cash support into the meal cards of 301 students after analyzing the meal card consumption record of all undergraduates between mid-September and mid-November.

在分析了所有本科生9月中旬到11月中旬的餐卡消費記錄之後，南京理工大學教育發展基金會將現金補貼款存入到了301名學生的飯卡當中。

The data analysis spotted 314 students who had more than 60 meals and spent less than 420 yuan ($64.5) in the school canteen monthly, and the university's counselors who know more about the specific financial conditions of students finalized the list of recipient students.

數據分析發現，有314名學生每月食堂吃飯超過60頓、消費不足420元(摺合64.5美元)。同時，這所大學的輔導員瞭解學生的具體財務狀況後，確定了接受補助的學生名單列表。

The foundation set a monthly benchmark of 630 yuan, which was deemed as the average cost of food if students eat in the canteen for three meals a day for 30 days per month.

該基金會設立了每月630元的伙食消費標準，即學生每月30天在食堂吃一日三餐的平均成本。

The students aided were subsidized based upon the differences between their actual expenses and the benchmark, ranging from 11.63 yuan and 340.53 yuan, without them knowing in advance. The subsidies will continue until their graduation, said Wang Hu, the foundation's general secretary.

受助學生獲得的補助金額從11.63元到340.53元不等，依據是其實際支出與該基金會所設每月630元伙食消費標準間的差額，學生事先並不知情。該基金會祕書長王虎表示，這些學生畢業前將一直獲得補助。

Unlike traditional arrangements for financial support, which involves complicated procedures of filling out forms and public review, the new practice helps the students in need without embarrassing them.

與傳統的補貼款涉及複雜的程序，填寫表格和公開審查的方式不同，這一新的做法有助於在滿足學生需求是還能避免他們陷入尷尬的境地。