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Analysis of College English Writing Teaching in the Context of Big Data

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DOI: 10.23977/aduhe.2022.040513 | Downloads: 6 | Views: 635

Author(s)

Juxia Dong 1

Affiliation(s)

1 Pingdingshan University, Pingdingshan, Henan Province, 467000, China

Corresponding Author

Juxia Dong

ABSTRACT

Writing is not only an important part of College English teaching, but also a testing process of language output. English writing teaching can improve college students' Comprehensive English application ability and language knowledge transfer ability. Under the background of the big data era, the rapid development of information technology provides a new reform path and development opportunity for College English teaching, with a wide range of influence, and also provides a god given opportunity for the reform of writing teaching. Therefore, it is necessary for us to study how to reform college English Writing Teaching in the context of big data, improve the overall quality of College English writing teaching, and lay a foundation for students' future development and language use. This paper focuses on the analysis of College English Writing Teaching in the context of big data, hoping to provide some references and suggestions for relevant educators.

KEYWORDS

Big data background, College english, Writing teaching

CITE THIS PAPER

Juxia Dong, Analysis of College English Writing Teaching in the Context of Big Data. Adult and Higher Education (2022) Vol. 4: 72-77. DOI: http://dx.doi.org/10.23977/aduhe.2022.040513.

REFERENCES

[1] Yang Lu. On the reform of College English Writing Teaching in the context of big data [J]. Campus English, 2021, (33): 35-36.
[2] Ma Lei. Analysis of College English Writing Teaching Reform under the background of big data era [J]. Farm staff, 2020, (17): 184.
[3] Zhuma. Exploration of College English Writing Teaching Reform in the context of big data [J]. Journal of Heihe University, 2017,8 (06): 142-143 + 205.
[4] Chen Guo. Practice and exploration of College English Writing Teaching Reform in the context of big data [J]. English teacher, 2015,15 (11): 46-48.

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