ArticleOpen Access http://dx.doi.org/10.26855/er.2026.06.002
An Analysis of the Path of Embedding DeepSeek into Comprehensive Business English Teaching
Hui Huang, Yonghui Tang*
Department of Foreign Language, Shaoyang University, Shaoyang 422000, Hunan, China.
*Corresponding author: Yonghui Tang
This work was a project supported by Teaching Reform and Research Project of Hunan Province: Exploration and Practice of the “One Core, Two Wings, Three Stages and Five Dimensions” Teaching Model of Comprehensive Business English in the Digital Intelligence Era (202502001270); Research and Practice on the Characteristic Development of English Majors in Local Undergraduate Colleges in the New Era: “One Core, Two Wings, Three Dimensions, Four Sides, Five Points” (202401001302).
Published: June 09, 2026
Abstract
The digital economy and generative artificial intelligence have reconstructed the training paradigm of business English talents. With its advantages in multilingual comprehension, business scenario simulation, layered content generation, and intelligent learning situation diagnosis, Deep Seek adapts to the trinity curriculum objectives of Comprehensive Business English, namely basic language proficiency, business thinking, and cross-cultural literacy. Drawing on the “Four-in-One” framework for foreign language teaching empowered by large language models (LLMs), this paper takes Unit 4 The Reality of Success in Business as a teaching case and constructs a full-process implementation path covering pre-class intelligent lesson preparation, immersive in-class interaction, post-class layered intelligent evaluation, and extracurricular business expansion. Reusable AI teaching prompts and classroom tasks are designed around three core teaching modules of the unit: entrepreneurship, business strategy, and success narratives. Quasi-experimental teaching practice proves that the human-machine collaborative model supported by DeepSeek can narrow the gaps in students’ basic business English proficiency and improve their ability in case-critical thinking and business output. Meanwhile, this paper sorts out practical dilemmas such as over-reliance on AI, distorted generated content, and insufficient teachers’ digital literacy, and puts forward three optimization strategies including human-machine collaborative teaching norms, cultivation of critical AI literacy, and integrated curriculum ideological and political education. It provides operable schemes for the digital teaching reform of Comprehensive Business English in application-oriented universities.
Keyword
DeepSeek; large language model; comprehensive business English; teaching path; entrepreneurship; Four-in-One teaching framework
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Copyright
© 2026 by the author(s).
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND) license, which permits non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited and is not modified or adapted.
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How to cite this paper
An Analysis of the Path of Embedding DeepSeek into Comprehensive Business English Teaching
How to cite this paper: Hui Huang, Yonghui Tang. (2026). An Analysis of the Path of Embedding DeepSeek into Comprehensive Business English Teaching. The Educational Review, USA, 10(6), 346-351.
DOI: http://dx.doi.org/10.26855/er.2026.06.002