Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)

Recognition and Analysis of Poor Students on College Students Campus Card Consumption Data Based on Big Data

Authors
Aifeng Li, Zhineng Xiao, Biyun Liang
Corresponding Author
Aifeng Li
Available Online May 2017.
DOI
https://doi.org/10.2991/icmeit-17.2017.21How to use a DOI?
Keywords
Big data, Campus card, Poor student recognition, Consumption data
Abstract
Subsidization for students from low-income families is a major student management work for colleges and universities. With deep and extensive use of big data in all sectors, relevant big data shall be used to identify poor students. Using big data rationally for targeted subsidization represents in-depth application of big data in educational field. In this thesis, the researchers collected 36546 data concerning dining consumption of students in three months, used Datist, a big data analysis software to build a model, acquired concerning dining habits, consuming behaviors, situations in school and consumption indicators of the students, and then selected poor students. This study laid a solid foundation for large-scale dynamic implementation of "campus big data and targeted subsidization", accurate recognition of poor students and rational student analysis in future.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
Part of series
Advances in Computer Science Research
Publication Date
May 2017
ISBN
978-94-6252-338-8
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmeit-17.2017.21How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Aifeng Li
AU  - Zhineng Xiao
AU  - Biyun Liang
PY  - 2017/05
DA  - 2017/05
TI  - Recognition and Analysis of Poor Students on College Students Campus Card Consumption Data Based on Big Data
BT  - 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-17.2017.21
DO  - https://doi.org/10.2991/icmeit-17.2017.21
ID  - Li2017/05
ER  -