Author(s)

Fei Deng^*, FeiWu Li, Lv Lin, XiHua Chen

Affiliation(s)

School of Foreign Studies, South China Agricultural University, Guangzhou 510642, Guangdong, China.

Corresponding Author

Fei Deng

ABSTRACT

Against the backdrop of rapid advancements in artificial intelligence (AI) technology, the translation industry is undergoing profound changes, presenting new challenges and opportunities for traditional talent cultivation models. As a vital force in supporting the internationalization of agriculture, agricultural universities must align their translation talent training with industry demands and technological developments, exploring innovative pathways. This study takes the Master's program in Translation at South China Agricultural University as a case study, analyzing the current state and issues of the existing training model based on the concept of "Industry-Education-Research-Innovation." It proposes optimization pathways. The research finds that through the organic integration of school-enterprise cooperation, curriculum system optimization, research-driven initiatives, and innovation and entrepreneurship education, the professional competitiveness and innovative capabilities of translation talent in agricultural universities can be effectively enhanced. This study provides theoretical support and practical references for translation education in agricultural universities.

KEYWORDS

AI era; Agricultural universities; Translation talent; "Industry-Education-Research-Innovation" integration; Training pathways

CITE THIS PAPER

Fei Deng, FeiWu Li, Lv Lin, XiHua Chen. The integration of “industry-education-research-innovation” in the training pathways for translation talent in agricultural universities in the ai era: a case study of the master's program in translation at south china agricultural university. Trends in Social Sciences and Humanities Research. 2024, 2(12): 59-66. DOI: https://doi.org/10.61784/tsshr3127.

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