Reorienting Foreign Language Talent Cultivation in the Era of AI Development

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.

Authors

Publication Details

Journal
Creative Education Studies
Published
2025-01-01
DOI
https://doi.org/10.12677/ces.2025.136433
Primary Topic
Educational Technology and Pedagogy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reorienting Foreign Language Talent Cultivation in the Era of AI Development

丹 张
2 links
Creative Education Studies
Educational Technology and Pedagogy
article

Reorienting Foreign Language Talent Cultivation in the Era of AI Development

丹 张
article en

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.

Creative Education StudiesVol. 13(06)
Openalex Percentile: Top 93%
Educational Technology and Pedagogy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.