Series:ASSEHR

Proceedings of the 2018 2nd International Conference on Management, Education and Social Science (ICMESS 2018)

Improving Education Precision and Poverty Alleviation based on Big Data

Authors
Chenghui Yang, Yifeng Zheng
Corresponding author
Chenghui Yang
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.
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@inproceedings{Yang2018,
  title={Improving Education Precision and Poverty Alleviation based on Big Data},
  author={Yang, Chenghui and Zheng, Yifeng},
  year={2018},
  booktitle={2018 2nd International Conference on Management, Education and Social Science (ICMESS 2018)},
  issn={2352-5398},
  isbn={978-94-6252-520-7},
  url={http://dx.doi.org/10.2991/icmess-18.2018.21},
  doi={10.2991/icmess-18.2018.21},
  publisher={Atlantis Press}
}
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