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<p>In order to improve the English writing ability of college students and help them lay a good foundation for written communication in English when they graduate from school or continue their studies abroad. This paper collects data on college students’ English writing on the Internet through a clustering algorithm with the support of big data technology background and defines the scoring criteria for essays to target the deficiencies in college students’ English writing nowadays and urge students to correct them. With the support of a search algorithm, we obtained the demand for college students’ English from employers in China over the past 10 years and reflected on the aggregated demand data to link classroom teaching with workplace English. The study found that the English language skills valued by employers in order were speaking 80.5%, writing 86.3%, reading 57.9%, listening 40.2%, and translation 21.7%. A demand questionnaire survey was conducted randomly among non-English majored first- to fourth-year undergraduate students in five universities with tiered teaching. The results showed that 72% of the students thought they needed to improve their English speaking skills, 70.3% thought they needed to improve their English writing skills, and 40% thought they needed to improve their grammar skills, which shows that college students’ needs for improving their English speaking and writing skills are particularly prominent. The emphasis on English writing classroom education for college students can solve the urgent needs of students for English learning and improve college students’ English writing skills through big data science.</p>
</abstract>

In order to improve the English writing ability of college students and help them lay a good foundation for written communication in English when they graduate from school or continue their studies abroad. This paper collects data on college students’ English writing on the Internet through a clustering algorithm with the support of big data technology background and defines the scoring criteria for essays to target the deficiencies in college students’ English writing nowadays and urge students to correct them. With the support of a search algorithm, we obtained the demand for college students’ English from employers in China over the past 10 years and reflected on the aggregated demand data to link classroom teaching with workplace English. The study found that the English language skills valued by employers in order were speaking 80.5%, writing 86.3%, reading 57.9%, listening 40.2%, and translation 21.7%. A demand questionnaire survey was conducted randomly among non-English majored first- to fourth-year undergraduate students in five universities with tiered teaching. The results showed that 72% of the students thought they needed to improve their English speaking skills, 70.3% thought they needed to improve their English writing skills, and 40% thought they needed to improve their grammar skills, which shows that college students’ needs for improving their English speaking and writing skills are particularly prominent. The emphasis on English writing classroom education for college students can solve the urgent needs of students for English learning and improve college students’ English writing skills through big data science.

The Impact of College English Teaching on Improving Students’ Writing Effectiveness in the Context of Big Data

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

In order to improve the English writing ability of college students and help them lay a good foundation for written communication in English when they graduate...

The Impact of College English Teaching on Improving Students’ Writing Effectiveness in the Context of Big Data

Online veröffentlicht: 06. Juni 2023

Seitenbereich: -

Eingereicht: 28. Juli 2022

Akzeptiert: 12. Dez. 2022

DOI: https://doi.org/10.2478/amns.2023.1.00356

Schlüsselwörter
Big data, College English, Writing teaching, Clustering algorithm, Search algorithm

© 2023 Lu Sun, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

The Impact of College English Teaching on Improving Students’ Writing Effectiveness in the Context of Big Data

Online veröffentlicht: 06. Juni 2023

Seitenbereich: -

Eingereicht: 28. Juli 2022

Akzeptiert: 12. Dez. 2022

DOI: https://doi.org/10.2478/amns.2023.1.00356

SchlüsselwörterBig data, College English, Writing teaching, Clustering algorithm, Search algorithm

© 2023 Lu Sun, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Big data, College English, Writing teaching, Clustering algorithm, Search algorithm