Improving Education Precision and Poverty Alleviation based on Big Data

DOI

10.2991/icmess-18.2018.21How to use a DOI?

Keywords

Big data; Improving Education; Accurate poverty alleviation; Identification of poor students

Abstract

With the increase of the state's investment in "poverty alleviation", it is of great significance to realize the poverty alleviation of impoverished college students, but at present, the criteria for judging whether students are poor are not clear so we cannot accurately and quickly determine the targets of accurate poverty reduction. From the perspective of big data modeling, this paper puts forward practical construction planning and improvement means to help to achieve the goal of accurate determination of impoverished students.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Chenghui Yang
AU  - Yifeng Zheng
PY  - 2018/06
DA  - 2018/06
TI  - Improving Education Precision and Poverty Alleviation based on Big Data
BT  - Proceedings of the 2018 2nd International Conference on Management, Education and Social Science (ICMESS 2018)
PB  - Atlantis Press
SP  - 98
EP  - 100
SN  - 2352-5398
UR  - https://doi.org/10.2991/icmess-18.2018.21
DO  - 10.2991/icmess-18.2018.21
ID  - Yang2018/06
ER  -