创新创业理论研究与实践 ›› 2026, Vol. 9 ›› Issue (10): 69-71.

• 教学革新 • 上一篇    下一篇

真实项目驱动的翻译教学实践路径探索——基于生成式人工智能驱动的翻译教育范式转型

祝元娜   

  1. 武昌工学院,湖北武汉 430065
  • 出版日期:2026-05-25 发布日期:2026-07-01
  • 作者简介:祝元娜(1984—),女,重庆人,硕士研究生,副教授,研究方向:翻译学。

Exploration of the Practical Path of Translation Teaching Driven by Real Projects—Transformation of Translation Education Paradigm Driven by Generative Artificial Intelligence

ZHU Yuanna   

  1. Wuchang Institute of Technology, Wuhan Hubei, 430065, China
  • Online:2026-05-25 Published:2026-07-01

摘要: 生成式人工智能驱动翻译教育发生深刻变革。该文剖析翻译能力体系、教学模式与教育目标三方面的范式转型,指出译者核心能力已从传统双语转换转向以提示素养为核心的人机协同能力,教学模式呈现“师—机—生”三元互动特征,教育目标强调培养兼具语言、技术及专业素养的复合型人才;在此基础上,构建真实项目驱动的翻译教学模式,从项目导入与团队构建、人机协同翻译实践、高阶思维训练、成果孵化与反思提升四个维度系统构建实践路径。该路径可有效提升学生的人机协作与创新应变能力,为生成式人工智能时代的翻译教学提供参考。

关键词: 生成式人工智能, 真实项目驱动, 翻译教学, 实践路径, 人机协同, 提示素养

Abstract: Generative artificial intelligence drives profound changes in translation education. This article analyzes the paradigm shift in translation ability system, teaching mode, and educational objectives, pointing out that the core competence of translators has shifted from traditional bilingual transformation to human-machine collaboration ability with prompt literacy as the core. The teaching mode presents a tripartite interactive feature of“teacher machine student”, and the educational objectives emphasize the cultivation of compound talents with language, technical, and professional literacy. On this basis, a real project driven translation teaching model is constructed, which systematically constructs a practical path from four dimensions: project introduction and team building, human-machine collaborative translation practice, advanced thinking training, and achievement incubation and reflection enhancement. This path can effectively enhance students'human-machine collaboration and innovative adaptability, providing reference for translation teaching in the era of generative artificial intelligence.

Key words: Generative Artificial Intelligence, Real project driven, Translation teaching, Practical path, Human-machine collaboration, Tip literacy

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