ARTICLE
27 October 2026

A Study on the Ideological and Political Teaching Reform of the Advanced English Course in Maritime Universities Empowered by Large Language Models: Taking the Translation Teaching Practice of Guangdong Local Chronicles as an Example

Yibo Zhao1 ,  Meng Zhang1*
Show Less
1 Faculty of Foreign Languages, Guangdong Ocean University, Zhanjiang 524088, Guangdong, China
erd 2026 , 8(9), 255–263; https://doi.org/10.26689/erd.v8i9.15892
© 2026 by the Author(s). Licensee: Bio-Byword Scientific Publishing Pty Ltd, Australia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

Fostering virtue through education and promoting fine traditional Chinese culture abroad set higher requirements for ideological and political education in foreign language courses, while large language models (LLMs) offer new conditions for transforming language teaching. To address the separation of value guidance from language instruction, the absence of local culture and insufficient output-oriented training in the Advanced English course of maritime universities, this paper, supported by the Zhanjiang philosophy and social science project, takes Zhanjiang local chronicles as the core corpus and extends to Guangdong local chronicles and the international publicity of city images in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA). With the aid of LLMs, it reconstructs teaching objectives, content, process and assessment, thereby building a “corpus–technology–value” integrated model illustrated by teaching examples. Practice shows that the model can foster cultural confidence, maritime awareness and patriotism in translation training and serve the international communication of Guangdong and the GBA.

Keywords
Large language models
Advanced English
Ideological and political education
Guangdong local chronicles
City image
Translation teaching
Funding
MOE (Ministry of Education in China) Liberal arts and Social Sciences Foundation (Project No.: 24YJC740088); the University-Industry Collaborative Education Program of the Ministry of Education (Project No.: 2409264500); the Guangdong Provincial Higher Education Teaching Research and Reform Project (Project No.: PX-1372025045); the Zhanjiang Philosophy and Social Sciences Planning Project (Project No.: ZJ25YB20); the Undergraduate Teaching Quality and Teaching Reform Project of Guangdong Ocean University (Project No.: PX-62024026); the National Training Program of Innovation and Entrepreneurship for Undergraduates (Project No.: 202610566013)the Guangdong Provincial Higher Education Special Project on "Foreign Language Education Innovation and High-Quality Development" (No. 2026GJWJ653)
References

[1]   Gao N, Wang X, 2020, Comprehensively Grasping the Theoretical, Holistic, and Systematic Nature of the Guidelines for the Construction of Curriculum-Based Ideological-Political Education in Institutions of Higher Learning. China University Teaching, (9): 17–22.

[2]   Li Z, 2024, ChatGPT for Empowering Foreign Language Teaching: Scenarios and Strategies. Journal of Beijing International Studies University, 46(1): 109–118.

[3]   Wang H, Liu S, 2024, Research on the Impact of Large Language Models on Translator Subjectivity and Strategies for Resolving It. Foreign Languages and Translation, 31(4): 13–19 + 98.

[4]   Zhang W, Zhao B, 2024, Has Generative AI Opened a New Era for Machine Translation? A Contrastive Quality Study and Reflections on Translation Education. Journal of Beijing International Studies University, 46(1): 83–98.

[5]   Hu J, Qi Y, 2023, China’s Foreign Language Education in the ChatGPT Era: Seeking and Responding to Change. Technology Enhanced Foreign Language Education, (1): 3–6 + 105.

[6]   Jiao J, Chen T, 2023, Large Language Models Empowering English Language Teaching: Four Scenarios. Technology Enhanced Foreign Language Education, (2): 12–17 + 106.

[7]   Zhou Z, 2023, The Application of ChatGPT in Translation Teaching: Changes, Challenges, and Countermeasures. Journal of Beijing International Studies University, 45(5): 134–146.

[8]   Wang Z, 2019, On Human–Computer Cooperative Learning in the Age of Intelligence. e-Education Research, 40(9): 18–25 + 33.

[9]   Li L, Li Y, 2026, A Practical Exploration of Translator Subjectivity Based on Large Language Models: A Case Study of Translating A Brief History of Chinese Agrarian Civilization in the New Era. Journal of Shandong Agricultural University (Social Sciences Edition), 28(1): 180–186.

[10] Li Q, 2015, The Spread, Influence, Development, and Utilization of the Maritime Silk Road Culture in Leizhou. Tropical Geography, 35(5): 701–707.

[11] Liu S, 2022, Constructing Multimodal Metaphorical Cognitive Mechanisms in Regional Image Promotional Videos: A Case Study of the Chinese–English Image Promotional Video of the Guangdong–Hong Kong–Macao Greater Bay Area. Journal of Wuyi University (Social Sciences Edition), 24(4): 74–79 + 92.

[12] Wang C, 2021, The Enlightenment of the Ancient Maritime Silk Road for Contemporary Dialogue among Asian Civilizations. Local Culture Research, 9(1): 10–21 + 43.

[13] Wen Q, 2021, A Framework of Integrating Moral Education into College Foreign Language Teaching. Foreign Languages in China, 18(2): 47–52.

[14] Xiao Q, Huang G, 2020, On the Ideological-Political Construction of Foreign Language Courses. Foreign Languages in China, 17(5): 1 + 10–14.

[15] Wang D, Pang G, Shan X, 2022, Construction and Experimental Study of an Experiential Teaching Model for the Outward Translation of Culture. Shanghai Journal of Translators, (2): 46–50.

[16] Huang Y, 2004, Upholding the “Three Closenesses” Principle in International Communication and Addressing Difficult Issues in Publicity Translation. Chinese Translators Journal, (6): 29–30.

[17] Feng Y, Feng Q, 2022, Metaphor Translation and the Cross-Cultural Construction of Shanghai’s City Image. Shanghai Journal of Translators, (2): 84–89.

Conflict of interest
The authors declare no conflict of interest.
Share
Back to top