当代外语研究

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2025 , Vol. 25 >Issue 6: 124 - 133

DOI: https://doi.org/10.3969/j.issn.1674-8921.2025.06.014

人工智能与外语教育

生成式学习理论下翻译教育的人类智能发展路径

  • 吴智慧
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  • 郑州轻工业大学, 郑州, 450001
吴智慧,郑州轻工业大学外国语学院教授。主要研究方向为应用语言学。电子邮箱:2003041@zzuli.edu.cn。

网络出版日期: 2026-01-28

基金资助

*2024年河南省高等教育教学改革与实践重大项目“教育数字化转型赋能地方特色骨干高校高质量人才培养研究与实践”(2024SJGLX0019)

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The Development Path of Human Intelligence in Translation Education Under the Generative Learning Theory

  • WU Zhihui
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Online published: 2026-01-28

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摘要

人工智能的深度发展对翻译教育的内涵提出了重构要求,如何在技术赋能背景下筑牢人类智能的发展根基已成为核心命题。本研究基于生成式学习理论,构建翻译教育人类智能发展的理论框架,提出通过认知激活、文化图式生成和元认知监控三大机制,系统强化学习者在文化阐释、创造性转译和伦理判断等关键维度上的不可替代性。基于“人主机辅”的教育理念,研究建议优化人机协同课程设计、构建人类智能发展评估体系,以推动翻译教育在智能时代的范式转型。本研究为重塑以人类智能为核心的翻译教育体系提供了理论参考和实践路径。

关键词： 翻译教育; 人工智能; 人类智能; 生成式学习理论

本文引用格式

吴智慧 . 生成式学习理论下翻译教育的人类智能发展路径[J]. 当代外语研究, 2025 , 25(6) : 124 -133 . DOI: 10.3969/j.issn.1674-8921.2025.06.014

Abstract

The profound advancement of artificial intelligence necessitates a redefinition of translation education. Against this backdrop of technological empowerment, how to solidify Human Intelligence (HI) has emerged as a central issue. Grounded in generative learning theory, this study constructs a theoretical framework for the development of human intelligence within translation education. It proposes systematically enhancing learners’ irreplaceability in key dimensions, such as cultural interpretation, creative translation, and ethical judgment, through three core mechanisms: cognitive activation, cultural schema generation, and metacognitive monitoring. Based on the educational philosophy of “human-led, machine-assisted”, this study recommends establishing a HI development assessment system and optimizing curriculum design for human-machine collaboration to promote a paradigm shift in translation education for the age of artificial intelligence. This study offers theoretical references and practical pathways for reshaping the translation education system with HI at its core.

Key words： translation education; artificial intelligence; human intelligence; Generative Learning Theory

参考文献

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