Foreign Language Education Reform and Language Services Talents Training in the Era of Large Language Models
Year: 2025
Type: article
Abstract: Large language models such as DeepSeek and ChatGPT have rapidly generated profound impacts across various sectors upon their release, posing significant challenges to foreign language education as well. This paper reviews the current state of research on foreign language education in the age of artificial intelligence. It discusses the challenges that AI technologies pose to the acquisition of foreign language skills, including reading, writing, and translation, as well as their impact on academic research. Additionally, it outlines the new demands for foreign language professionals in this evolving landscape. The study further suggests that an accurate understanding of technology is essential for fostering critical thinking. It emphasizes that both teachers and students should enhance their technical skills to improve digital foreign language literacy. Additionally, it highlights the importance of language services competence in training professionals in applied digital language services. This paper serves as a reference for reforming foreign language education in the era of large language models and offers suggestions for developing a competency model for digital language service professionals.
Authors: Zhao Li, Yongliang Huang, Mengdi Wang
Institution: Hebei Normal University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W4412504520