Author(s)

Huang Cheng ¹

Affiliation(s)

¹ Foreign Language Teaching Department, Hainan Vocational University of Science and Technology, Haikou, Hainan, 571126, China

Corresponding Author

Huang Cheng

ABSTRACT

The advent of the intelligent era has driven profound changes in the field of translation. With the in-depth application of intelligent technologies such as machine translation and neural machine translation in the translation industry, the traditional translation teaching model can hardly meet the requirements of the new "human-machine collaboration" work paradigm. Based on the theory of ecological translation studies, this paper constructs an "intelligent ecological translation teaching model featuring human- machine collaboration". The study proposes to take "translator-led, technology- empowered" as the core concept, and realize the organic integration of translation competence and technical literacy by reconstructing teaching objectives, innovating teaching processes, and optimizing evaluation systems. This model provides a theoretical framework and practical path for the reform of translation teaching in the intelligent context, and has important guiding significance for cultivating new-type translation talents who can adapt to the development of the industry.

KEYWORDS

Ecological Translation Studies; Artificial Intelligence; Translation Teaching; Human-Machine Collaboration; Teaching Model

CITE THIS PAPER

Huang Cheng, Research on the Practical Application of Ecological Translation Teaching in the Intelligent Era. Curriculum and Teaching Methodology (2025) Vol. 8: 102-109. DOI: http://dx.doi.org/10.23977/curtm.2025.080713.

REFERENCES

[1] Hu Gengshen, Youlan Tao. Eco-Translatology: A New Paradigm of Eco-translation*-A Comparative Study on Approaches to Translation Studies. T&I REVIEW, 2016, 6: 115-132.
[2] Muñoz-Basols, Javier, et al. Potentialities of applied translation for language learning in the era of artificial intelligence. Hispania, 2023, 106(2): 171-194.
[3] Deng Xinjie, Zhonggen Yu. A systematic review of machine-translation-assisted language learning for sustainable education. Sustainability, 2022,14(13): 7598.
[4] Steigerwald, Emma, et al. Overcoming language barriers in academia: Machine translation tools and a vision for a multilingual future.BioScience, 2022, 72 (10): 988-998.
[5] Gorlée, Dinda L. On translating signs: Exploring text and semio-translation. Brill, 2022, 4.
[6] Godwin-Jones, Robert. Partnering with AI: Intelligent writing assistance and instructed language learning. University of Hawaii, 2022.

Sponsors, Associates, and Links

---

• Advances in Educational Technology and Psychology
  
  
• Transactions on Comparative Education
  
  
• Applied & Educational Psychology
  
  
• Advances in Vocational and Technical Education
  
  
• Adult and Higher Education