Proceedings of the 2018 5th International Conference on Education, Management, Arts, Economics and Social Science (ICEMAESS 2018)

Research on incentive mechanism of University Counselors Based on big data in the Internet Era

Authors
Xiaoli Wang, Zhen Gao, Zuyi Wang
Corresponding Author
Xiaoli Wang
Available Online November 2018.
DOI
10.2991/icemaess-18.2018.204How to use a DOI?
Keywords
big data, college counselors, incentive mechanism
Abstract

With the rapid development of big data technology on the Internet, it is the focus of attention of colleges and universities to build a perfect incentive mechanism system for College Counselors Based on big data. Taking the course of MySQL Database Programming as an example, this paper puts forward the implementation strategy of incentive mechanism based on big data technology, and analyzes and summarizes the incentive mechanism system based on College counselors.

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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Volume Title
Proceedings of the 2018 5th International Conference on Education, Management, Arts, Economics and Social Science (ICEMAESS 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
November 2018
ISBN
10.2991/icemaess-18.2018.204
ISSN
2352-5398
DOI
10.2991/icemaess-18.2018.204How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Xiaoli Wang
AU  - Zhen Gao
AU  - Zuyi Wang
PY  - 2018/11
DA  - 2018/11
TI  - Research on incentive mechanism of University Counselors Based on big data in the Internet Era
BT  - Proceedings of the 2018 5th International Conference on Education, Management, Arts, Economics and Social Science (ICEMAESS 2018)
PB  - Atlantis Press
SP  - 1034
EP  - 1038
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemaess-18.2018.204
DO  - 10.2991/icemaess-18.2018.204
ID  - Wang2018/11
ER  -