Study on Translation Teaching from the Perspective of Educational Ecology: The Digital Transformation of Translation Processes through the Integration of Teaching and Artificial Intelligence Technology

DOI: https://doi.org/10.62517/jhet.202515403

Author(s)

Xinshuo Zhang, Weijin Jiang*

Affiliation(s)

Fuzhou Technology and Business University, Fuzhou, Fujian, China *Corresponding Author

Abstract

With the booming of artificial intelligence (AI) technology and the acceleration of globalization, traditional translation teaching models are facing unprecedented challenges and opportunities. Based on the theoretical framework of educational ecology, this study employs literature analysis and case study methods to explore feasible pathways for the deep integration of AI technology and translation teaching. The research reveals several imbalances in the current translation teaching ecosystem, including singular teaching objectives, closed teaching environments, fragmented resource utilization, and static evaluation methods. To address these issues, this paper proposes a digital translation teaching ecological model characterized by “one platform, four dimensions.” This model is built on an intelligent translation platform and systematically reconstructs four key aspects: teaching objectives, teaching environment, teaching resources, and teaching evaluation. The findings indicate that AI technology can effectively promote the dynamic balance of the translation teaching ecosystem, facilitating the transformation of teachers from knowledge transmitters to learning facilitators, students from passive recipients to active constructors, and teaching environments from closed and singular to open and diverse. This study provides theoretical foundations and practical references for translation teaching reform in the AI era, offering significant insights for cultivating high quality translation professionals who can meet the demands of the digital age.

Keywords

Educational Ecology; Translation Teaching; Artificial Intelligence; Digital Transformation

References

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