Proceedings of the 2016 2nd International Conference on Social Science and Higher Education

Reform in the Teaching of College English Writing by Using Big Data

Authors
Yi Lu, Mu Sun
Corresponding Author
Yi Lu
Available Online July 2016.
DOI
10.2991/icsshe-16.2016.88How to use a DOI?
Keywords
writing teaching, college English, Big Data, reform, measures
Abstract

The widespread use of internet brings people into an age of big data. Big data changes people's minds and action, and it also brings opportunities and challenges to the reform of writing teaching for college English. So it is very essential to do an intensive study of the writing teaching for college English. This paper introduces the characteristics of big data, and analyzes the changes that big data bring to writing teaching of college English and at last discusses the effective measures of college English writing reform by using big data. College English writing teachers should make a good preparation for the reform, and improve their application ability in information technology.

Copyright
© 2016, 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 2016 2nd International Conference on Social Science and Higher Education
Series
Advances in Social Science, Education and Humanities Research
Publication Date
July 2016
ISBN
978-94-6252-212-1
ISSN
2352-5398
DOI
10.2991/icsshe-16.2016.88How to use a DOI?
Copyright
© 2016, 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  - Yi Lu
AU  - Mu Sun
PY  - 2016/07
DA  - 2016/07
TI  - Reform in the Teaching of College English Writing by Using Big Data
BT  - Proceedings of the 2016 2nd International Conference on Social Science and Higher Education
PB  - Atlantis Press
SP  - 346
EP  - 349
SN  - 2352-5398
UR  - https://doi.org/10.2991/icsshe-16.2016.88
DO  - 10.2991/icsshe-16.2016.88
ID  - Lu2016/07
ER  -