Precise Identification of Low Family Income College Students and Analysis of Funding Models in Big Data Era--In the Case of University of Electronic Science and Technology
Under the overall deployment of targeted poverty alleviation of central government,achieving targeted funding for low family income college students is of great significance.However,precise identification of low family income college students is a public challenge.How could colleges overcome challenges existing in the process of fellowship grade identification every year? This paper,by taking University of Electronic Science and Technology as an example,has discussed how to calculate difficulty indexes of students through establishing an independent study algorithm with a series of technologies.Under the background of big data,this paper has first stated the dilemma of colleges in identifying low family income students and further discussed the plan of University of Electronic Science and Technology on precise identification of low family income students with big data.By using low family income student identification method and through a series of data integration like data access,data storage,data cleaning and difficulty calculation,the authors have analyzed their economic conditions and therefore achieved precise identification of low family income students.In terms of grades of identified low family income students,the authors have come up with corresponding funding measures.This paper,by taking multi-source objective behavior records of students as samples,has provided decision support for scientific funding by means of big data mining technology.
Big data Low family income college student Precise identification Funding path
GOU Ming-jiao WANG Hong-wei
School of Political Science and Public Administration,University of Electronic Science and Technology of China,Chengdu,P.R.China,611731
国际会议
加纳
英文
249-255
2017-11-01（万方平台首次上网日期，不代表论文的发表时间）