Proceedings of the 2020 International Conference on Social Sciences and Big Data Application (ICSSBDA 2020)

Research on Journalistic English Teaching Model in Big Data Era

Authors
Yanfeng Zu, Xiaoyan Quan
Corresponding Author
Yanfeng Zu
Available Online 2 November 2020.
DOI
https://doi.org/10.2991/assehr.k.201030.007How to use a DOI?
Keywords
big data, journalistic English, teaching model, research
Abstract
The advent of big data era has contributed to a rapid development of the Internet + teaching model, resulting in the fact that the traditional way of journalistic English teaching finds it difficult to suit the needs of the society and that new methodologies in journalistic English teaching which can keep up with the times should be introduced. Only by coordinating the characteristics of the big data era, advancing an inclusive development between multiple teaching model and concentrating our efforts on developing students’ internal driving force in learning, can we, in a more effective way, improve their ability of using English as a language. With my own experience in teaching, I have analyzed different features in journalistic English teaching and conducted a proactive research and study in the big data era from different angles, hoping that it could serve as a useful reference for the design of journalistic English teaching model.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2020 International Conference on Social Sciences and Big Data Application (ICSSBDA 2020)
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
2 November 2020
ISBN
978-94-6239-266-3
ISSN
2352-5398
DOI
https://doi.org/10.2991/assehr.k.201030.007How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yanfeng Zu
AU  - Xiaoyan Quan
PY  - 2020
DA  - 2020/11/02
TI  - Research on Journalistic English Teaching Model in Big Data Era
BT  - 2020 International Conference on Social Sciences and Big Data Application (ICSSBDA 2020)
PB  - Atlantis Press
SP  - 29
EP  - 33
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201030.007
DO  - https://doi.org/10.2991/assehr.k.201030.007
ID  - Zu2020
ER  -