Frontiers in Educational Research, 2022, 5(6); doi: 10.25236/FER.2022.050609.
Yizhi Zhang, Jinming Chang
Shaanxi Normal University, Xi’an, China
Big data in colleges and universities is generated during the whole process of college activities and collected according to the educational needs. Mining and utilize the potential huge value of data to support the informatization development of colleges and universities has become an inevitable trend in the future strategy. This paper takes financial aid for poor college students as an example to analyze the application value of campus card data in colleges and universities, and specifically introduces how to use big data processing technology to fully mine the campus card data and discover the hidden value behind it, which can not only realize the accurate identification of poor college students and provide precise financial aid but also greatly protect students' self-esteem, let students feel the school's attention and care for themselves.
Big data, Campus card data, Poor college students, Accurate identification, Financial aid
Yizhi Zhang, Jinming Chang. Analysis of the Application Value of Campus Card Data in Colleges and Universities: An Example of Precise Financial Aid for Poor Students. Frontiers in Educational Research (2022) Vol. 5, Issue 6: 48-51. https://doi.org/10.25236/FER.2022.050609.
[1] Yi Guijiao. Using big data to build a precise financial aid system for poor students in colleges and universities [J]. School Party Construction and Thought Education, 2020(22):28-30. DOI:10.19865/ j.cnki.xxdj. 2020.22.008.
[2] Ouyang Tielei,Ye Lingxiao. Research on precise funding strategy for poor students in colleges and universities based on big data analysis [J]. Computer Application and Software, 2020, 37(08):45-47+129.
[3] Zheng Ruiying. Research on the working method of financial support and education for poor students in colleges and universities based on the policy of precise poverty alleviation [J]. Education Modernization,2020,7 (12):110-112.DOI:10.16541/j.cnki.2095-8420.2020.12.037.
[4] Gui-Ming Lu,Yuan Zhang,Zhi-Min Zhou. Research on classification prediction of poor students based on machine learning [J]. Computer Applications and Software,2019,36(01):316-319.
[5] Wen, Shanghai. Research on the prediction model of poor students in colleges and universities based on neural network algorithm [J]. Network Security Technology and Application,2021(04):36-37.