Open AccessResearch on the Financial Aid Work for College Students Based on Big Data under the Concept of Targeted Poverty Alleviation
Author(s) -
Chen Song
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1648/2/022029
Subject(s) - poverty , government (linguistics) , work (physics) , economic growth , state (computer science) , political science , business , economics , development economics , engineering , computer science , mechanical engineering , linguistics , philosophy , algorithm
Although the economy of our country has been in the stage of rapid deelopment and the living standard of the people all over the country has been greatly improved, there are still many poor families, the children of these poor families have the problem of "difficult to go to school" due to economic problems. Fortunately, our government has been very concerned about the financial assistance for poor students, the state has put forward an accurate poverty alleviation policy, the financial assistance to college students as an important part of accurate poverty alleviation. This article analyzes the problems and methods of funding for college students based on big data under the concept of targeted poverty alleviation.