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人工智能发展背景下外语人才培养的思路转向
Reorienting Foreign Language Talent Cultivation in the Era of AI Development

DOI: 10.12677/ces.2025.136433, PP. 233-239

Keywords: 人工智能,外语专业,人才培养
Artificial Intelligence
, Foreign Language as a Major, Talent Development

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Abstract:

近年来,人工智能(AI)的快速发展对外语教育领域产生了深远影响,为外语人才培养带来挑战与机遇。在AI赋能背景下,教学应转向“因材施教”,通过数字化资源和算法推荐,为学生提供定制化学习路径。外语专业学生的角色正从前端处理者转向“幕后把关人”,重点在于审校AI生成内容,确保翻译质量与文化适配性。同时,外语人才培养需从普及型向专业型转变,提升综合竞争力。AI技术的应用要求学生掌握算法意识和跨学科能力,并通过国际传播技能助力中国文化输出。未来,高校需推动AI与外语教育的深度融合,培养既具语言能力又具技术素养的复合型人才,以适应人工智能时代的需求。
In recent years, the rapid development of artificial intelligence (AI) has profoundly impacted the field of foreign language education, presenting both challenges and opportunities for cultivating foreign language professionals. In the context of AI empowerment, teaching methodologies should shift toward personalized education, utilizing digital resources and algorithmic recommendations to provide students with customized learning pathways. The role of foreign language majors is transitioning from front-end processors to back-end reviewers, with an emphasis on evaluating and refining AI-generated content to ensure translation quality and cultural appropriateness. Meanwhile, the cultiva-tion of foreign language talent must evolve from generalized training to specialized development to enhance comprehensive competitiveness. The application of AI technologies requires students to develop algorithmic awareness and interdisciplinary competencies while leveraging international communication skills to facilitate the global dissemination of Chinese culture. In the future, higher education institutions must promote deeper integration between AI and foreign language education to cultivate interdisciplinary talents who possess both linguistic proficiency and technological literacy, thereby meeting the demands of the AI era.

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