The application of deep learning in English culture and situational teaching

This paper explores the application and influence of deep learning in English culture and context teaching. Through specific case studies, the study demonstrates how deep learning techniques can effectively improve learners’ language proficiency, engagement, and satisfaction. Especially in terms of personalized learning paths, interactive teaching, and cultural understanding, deep learning shows its unique advantages. This study highlights the importance of balancing the application of technology with traditional teaching methods and suggests that future research should focus on technology optimization, model transparency, and their application to a wider range of teaching scenarios. These findings provide important reference and enlightenment for the further development and application of deep learning technology in the field of education.

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Publication Details

Journal
Journal of Computational Methods in Sciences and Engineering
Published
2025-04-13
DOI
https://doi.org/10.1177/14727978251321398
Primary Topic
Educational Technology and Pedagogy
Type
article
Field-Weighted Citation Impact
0.00
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article

The application of deep learning in English culture and situational teaching

Fenghua Li, Liang Zhang
Journal of Computational Methods in Sciences and Engineering
Educational Technology and Pedagogy
article

The application of deep learning in English culture and situational teaching

Fenghua Li, Liang Zhang
article en

Abstract

This paper explores the application and influence of deep learning in English culture and context teaching. Through specific case studies, the study demonstrates how deep learning techniques can effectively improve learners’ language proficiency, engagement, and satisfaction. Especially in terms of personalized learning paths, interactive teaching, and cultural understanding, deep learning shows its unique advantages. This study highlights the importance of balancing the application of technology with traditional teaching methods and suggests that future research should focus on technology optimization, model transparency, and their application to a wider range of teaching scenarios. These findings provide important reference and enlightenment for the further development and application of deep learning technology in the field of education.

Journal of Computational Methods in Sciences and EngineeringVol. 25(3)
Japan International Cooperation Agency (JP)
Openalex Percentile: Top 97%
Educational Technology and Pedagogy
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The application of deep learning in English culture and situational teaching — Fenghua Li, Liang Zhang · Journal of Computational Methods in Sciences and Engineering (2025) | TGRS Research Map | TGRS