Proceedings of the 8th International Conference on Education, Management, Information and Management Society (EMIM 2018)

Optimization of College Moral Education Based on Big Data

Authors
Xiaohui Zhu
Corresponding Author
Xiaohui Zhu
Available Online August 2018.
DOI
10.2991/emim-18.2018.97How to use a DOI?
Keywords
Big Data; Moral Education for University students; Optimization
Abstract

Big Data technologies do not merely change our lifestyles and working modes, but also can be exploited to improve the moral education in universities, and thus they provide a good opportunity for the development of moral education. This paper aims to explore novel approaches from the perspective of Big Data to develop the moral education in universities and enhance its effectiveness. To this end, some feasible strategies are proposed which include optimizing the faculty construction of the moral education, setting up Big Data base and network learning platform, developing mobile apps of moral education for university students, which truly enhances the effectiveness of moral education for university 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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Volume Title
Proceedings of the 8th International Conference on Education, Management, Information and Management Society (EMIM 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
August 2018
ISBN
10.2991/emim-18.2018.97
ISSN
2352-5398
DOI
10.2991/emim-18.2018.97How 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  - Xiaohui Zhu
PY  - 2018/08
DA  - 2018/08
TI  - Optimization of College Moral Education Based on Big Data
BT  - Proceedings of the 8th International Conference on Education, Management, Information and Management Society (EMIM 2018)
PB  - Atlantis Press
SP  - 481
EP  - 485
SN  - 2352-5398
UR  - https://doi.org/10.2991/emim-18.2018.97
DO  - 10.2991/emim-18.2018.97
ID  - Zhu2018/08
ER  -