<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The rapidly developing big data technology not only directly affects people’s work and life but also plays a greater role in promoting the direction of education. This paper introduces online teaching methods to traditional teaching methods, constituting a hybrid online and offline teaching method, and optimizes the reform of business English teaching objectives, contents and processes. After pre-processing the teaching evaluation indexes, the rough set method based on big data technology is used to mine the association rules of teaching data. The principal component analysis evaluation method was used to evaluate the structure of the mined teaching data set. And the changes in teaching evaluation index values obtained by the principal component analysis method were used as the basis for determining the effectiveness of the business English teaching reform. The experiment proved that: aS10 students in group A with the worst business English level increased their teaching level value from 1.004 to 1.224 after the general reform, an increase of 20.77%. After the online and offline hybrid reform, the teaching level value increased from 1.004 to 1.306, an increase of 22.72%. This shows that the reformed business English teaching mode has deepened the reform and innovation of business English teaching through the full use of big data technology, improved the comprehensive English ability and literacy of the majority of students, and laid a solid foundation for the future development of students’ working career.</p>
</abstract>

The rapidly developing big data technology not only directly affects people’s work and life but also plays a greater role in promoting the direction of education. This paper introduces online teaching methods to traditional teaching methods, constituting a hybrid online and offline teaching method, and optimizes the reform of business English teaching objectives, contents and processes. After pre-processing the teaching evaluation indexes, the rough set method based on big data technology is used to mine the association rules of teaching data. The principal component analysis evaluation method was used to evaluate the structure of the mined teaching data set. And the changes in teaching evaluation index values obtained by the principal component analysis method were used as the basis for determining the effectiveness of the business English teaching reform. The experiment proved that: aS10 students in group A with the worst business English level increased their teaching level value from 1.004 to 1.224 after the general reform, an increase of 20.77%. After the online and offline hybrid reform, the teaching level value increased from 1.004 to 1.306, an increase of 22.72%. This shows that the reformed business English teaching mode has deepened the reform and innovation of business English teaching through the full use of big data technology, improved the comprehensive English ability and literacy of the majority of students, and laid a solid foundation for the future development of students’ working career.

Research on the reform of English teaching based on big data technology

Applied Mathematics and Nonlinear Sciences

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

{"article-title":"Research on the reform of English teaching based on big data technology"}

The rapidly developing big data technology not only directly affects people’s work and life but also plays a greater role in promoting the direction of...

Research on the reform of English teaching based on big data technology

Data publikacji: 09 wrz 2023

Zakres stron: -

Otrzymano: 03 paź 2022

Przyjęty: 20 mar 2022

DOI: https://doi.org/10.2478/amns.2023.2.00311

Słowa kluczowe
Big data technology, Business English, Teaching reform, Quality education, Rough set

© 2023 Jingjing Zheng, published by Sciendo

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

Research on the reform of English teaching based on big data technology

Data publikacji: 09 wrz 2023

Zakres stron: -

Otrzymano: 03 paź 2022

Przyjęty: 20 mar 2022

DOI: https://doi.org/10.2478/amns.2023.2.00311

Słowa kluczoweBig data technology, Business English, Teaching reform, Quality education, Rough set

© 2023 Jingjing Zheng, published by Sciendo

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

Słowa kluczowe
Big data technology, Business English, Teaching reform, Quality education, Rough set