Proceedings of the 2nd International Conference on Education Science and Social Development (ESSD 2019)

English-Writing Teaching of Vocational Colleges in Big Data Era

Authors
Wenxia Pan
Corresponding Author
Wenxia Pan
Available Online July 2019.
DOI
10.2991/essd-19.2019.37How to use a DOI?
Keywords
Big Data Era, vocational college, English-writing teaching
Abstract

In English-writing teaching of vocational colleges there remain some problems, such as: single teaching method, lagging feedback of assessment, etc. Big data is presenting opportunities as well as challenges to English-writing teaching of vocational colleges. Autonomous learning, individualized teaching and pluralistic assessment with real-time feedback become possible in Big Data Era. English teachers of vocational colleges must be well equipped for the challenges by updating teaching ideas, changing the way of thinking and improving IT skills and make innovation in teaching methods and assessment.

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 Education Science and Social Development (ESSD 2019)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
July 2019
ISBN
10.2991/essd-19.2019.37
ISSN
2352-5398
DOI
10.2991/essd-19.2019.37How 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  - Wenxia Pan
PY  - 2019/07
DA  - 2019/07
TI  - English-Writing Teaching of Vocational Colleges in Big Data Era
BT  - Proceedings of the 2nd International Conference on Education Science and Social Development (ESSD 2019)
PB  - Atlantis Press
SP  - 168
EP  - 171
SN  - 2352-5398
UR  - https://doi.org/10.2991/essd-19.2019.37
DO  - 10.2991/essd-19.2019.37
ID  - Pan2019/07
ER  -