人工智能时代外语翻译能力培养范式转型——以“笔译理论与实践”类课程为例

Paradigm Shift in Foreign Language Translation Competency Development under Artificial Intelligence—A Case Study of “Translation Theory and Practice” Courses

摘要: 人工智能翻译的普及挑战了传统“以终为始”的笔译教学。本文基于AIPE理念，提出笔译课程应从技能传授转向素养生成，构建“高阶翻译策略–人机协同操控–跨文化思辨”三维目标，设计“文化负载词对比”“过程性数据 + 多维量规”等新评价，并区分“笔译理论与实践”与“计算机辅助翻译”的不同定位：前者重批判与创造，后者重应用与优化。研究为“笔译理论与实践”类课程提供一定改革参考框架。

Abstract: The proliferation of AI-powered translation has rendered the traditional end-product-oriented pedagogy in translation instruction unsustainable. Grounded in the AIPE concept, this paper proposes a transition in translation courses from skill transmission to competence cultivation. It constructs a tripartite framework encompassing: 1) advanced translation strategy development, 2) human-machine collaborative task management, and 3) cross-cultural critical literacy. Novel assessment mechanisms are designed, including “comparative analysis of culturally-bound terms” and “process-oriented data analytics coupled with multi-dimensional rubrics”. Furthermore, the study distinguishes the divergent orientations of “Translation Theory and Practice” and “Computer-Aided Translation” courses: the former emphasizes critical analysis and creative problem-solving, while the latter prioritizes applied techniques and workflow optimization. This research offers a foundational framework for reforming “Translation Theory and Practice” curricula.