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

<p>This paper analyzes the characteristics and changes of influence on college business English teaching in the context of the new era, constructs a multimodal college business English teaching model based on vision and hearing, and carries out a multimodal fusion of graphics, text and audio through deep learning. To solve this problem, the time series analysis problem is easily affected by noise. On the basis of the basic time series algorithm, the GBDT-KF algorithm based on the Kalman filter is designed. It also predicts the effectiveness of college business English teaching. The results show that listening ability is improved by 0.3, speaking ability by 0.25, writing ability by 0.21, and reading ability by 0.18; the effect of college business English teaching has also been improved in different degrees.</p>
</abstract>

This paper analyzes the characteristics and changes of influence on college business English teaching in the context of the new era, constructs a multimodal college business English teaching model based on vision and hearing, and carries out a multimodal fusion of graphics, text and audio through deep learning. To solve this problem, the time series analysis problem is easily affected by noise. On the basis of the basic time series algorithm, the GBDT-KF algorithm based on the Kalman filter is designed. It also predicts the effectiveness of college business English teaching. The results show that listening ability is improved by 0.3, speaking ability by 0.25, writing ability by 0.21, and reading ability by 0.18; the effect of college business English teaching has also been improved in different degrees.

Using Time Series Analysis to Study the Changing Trend of Business English Teaching Effectiveness in Colleges and Universities

Applied Mathematics and Nonlinear Sciences

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

This paper analyzes the characteristics and changes of influence on college business English teaching in the context of the new era, constructs a multimodal...

Using Time Series Analysis to Study the Changing Trend of Business English Teaching Effectiveness in Colleges and Universities

Pubblicato online: 11 nov 2023

Pagine: -

Ricevuto: 12 feb 2023

Accettato: 22 mag 2023

DOI: https://doi.org/10.2478/amns.2023.2.01108

Parole chiave
Multimodal teaching, Deep learning, Time series algorithm, GBDT-KF algorithm, Business English teaching

© 2023 Chunling Ye, published by Sciendo

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

Using Time Series Analysis to Study the Changing Trend of Business English Teaching Effectiveness in Colleges and Universities

Pubblicato online: 11 nov 2023

Pagine: -

Ricevuto: 12 feb 2023

Accettato: 22 mag 2023

DOI: https://doi.org/10.2478/amns.2023.2.01108

Parole chiaveMultimodal teaching, Deep learning, Time series algorithm, GBDT-KF algorithm, Business English teaching

© 2023 Chunling Ye, published by Sciendo

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

Parole chiave
Multimodal teaching, Deep learning, Time series algorithm, GBDT-KF algorithm, Business English teaching