Research on innovative mechanisms and practical approaches for cultivating digitally-smart foreign language translation talent
数智型外语翻译人才培养创新机制与实践进路研究

摘要

生成式人工智能推动语言服务行业向人机耦合翻译模式转型，传统外语翻译人才培养已经无法跟上行业需求。应用型高校翻译人才培养存在目标不清晰、课程缺少技术维度、实践教学与行业场景脱节等问题。本研究从应用型高校定位出发，围绕人才特质框架、课程模式改革、多主体协同育人、三课堂贯通实践等方面，探索数智型外语翻译人才培养机制，提出了“课堂—实训—社会实践”联动方案，以期为地方应用型高校翻译专业数字化转型与复合型人才培养提供参考。

Abstract

Generative AI is driving the language service industry to transition toward a human-machine coupled translation model, rendering traditional foreign language translation talent cultivation unable to keep pace with industry demands. Translation talent cultivation in applied universities faces issues such as unclear objectives, a lack of technological dimensions in curricula, and a disconnect between practical teaching and real-world industry scenarios. Grounded in the positioning of applied universities, this study explores cultivation mechanisms for digitally-smart translation talent by focusing on talent attribute frameworks, curricular reform, multi-stakeholder collaborative education, and the integration of “three classrooms” (formal instruction, practical training, and social practice). It proposes a coordinated “Classroom–Training–Social Practice” scheme, aiming to provide a reference for the digital transformation of translation majors and the cultivation of interdisciplinary talent in local applied universities.