摘要
大学生资助工作具有审批流程繁琐和时间跨度大的特征,若不能够以科学的资助管理平台作为保障,容易导致资助工作的混乱性。本文在综合阐述大学生资助管理平台管理现状的基础上,以大数据分析技术为基础,介绍了大学生资助管理平台的设计方案,并结合实例评估了大学生资助管理平台应用的有效性,以期为相关人士提供借鉴和参考。
The problems often faced by college students in funding work,which mainly include the cumbersome approval process and large time span.In order to avoid the confusion of funding work,it is necessary to use a scientific self-help platform as a guarantee.This paper introduces the design scheme of college student funded management platform,based on big data analysis,comprehensively analyzes the current situation of college student funded management platform.On this basis,combined with examples to analyze the effectiveness of the application of college students’funding management platform,and provide reference for relevant people.
作者
罗义淞
黎云鹏
LUO Yi-Song;LI Yun-peng(Guilin University Of Technology,Guangxi Guilin 541006,China)
出处
《科技视界》
2019年第35期112-113,共2页
Science & Technology Vision
基金
大数据背景下高校学生精准资助工作模式创新研究（GUT18FC02）
关键词
大数据分析
大学生资助管理平台
设计方案
Big Data Analysis
College Student Funding Management Platform
Design Scheme
