Proceedings of the 2nd International Conference on Contemporary Education, Social Sciences and Ecological Studies (CESSES 2019)

Feasibility Study of Big Data Promoting Students' Learning and Development Taking the Chinese Language and Literature Major as an Example

Authors
Li Ding, Xueqing Song
Corresponding Author
Xueqing Song
Available Online October 2019.
DOI
10.2991/cesses-19.2019.99How to use a DOI?
Keywords
big data; data thinking; learning model; cultivation of talents
Abstract

With the development of The Times, the education and development mode for college students has to be reformed to develop a new learning mode so that college students can get out of the current dilemma of learning and development. How to realize the comprehensive improvement of college students' quality is the primary problem faced by high education and the urgent problem to be solved in the current talent strategy. The advent of the era of big data makes it become an opportunity to solve this dilemma. Big data brings not only technological change but also thinking innovation. Taking students majoring in Chinese language and literature as an example, this paper analyzes the availability of big data in contemporary college students' learning from different aspects such as students themselves and school construction, so as to help reconstruct the learning mode of contemporary college students and cultivate all-round talents.

Copyright
© 2019, 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 2nd International Conference on Contemporary Education, Social Sciences and Ecological Studies (CESSES 2019)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
October 2019
ISBN
978-94-6252-816-1
ISSN
2352-5398
DOI
10.2991/cesses-19.2019.99How to use a DOI?
Copyright
© 2019, 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  - Li Ding
AU  - Xueqing Song
PY  - 2019/10
DA  - 2019/10
TI  - Feasibility Study of Big Data Promoting Students' Learning and Development Taking the Chinese Language and Literature Major as an Example
BT  - Proceedings of the 2nd International Conference on Contemporary Education, Social Sciences and Ecological Studies (CESSES 2019)
PB  - Atlantis Press
SP  - 424
EP  - 427
SN  - 2352-5398
UR  - https://doi.org/10.2991/cesses-19.2019.99
DO  - 10.2991/cesses-19.2019.99
ID  - Ding2019/10
ER  -