Empowering Foreign Language Education with Large Language Models: Applications and Insights

DOI: https://doi.org/10.62517/jhet.202515114

Author(s)

Qin Yuxuan1, Zhou Yichen1, Huang Xiaohua2, Bao Huricha3,*

Affiliation(s)

1College of International Studies,.Yangzhou University, Yangzhou, Jiangsu, China 2Pingxiang High School, Pingxiang, Jiangxi, China 3School of Journalism and Communication, Yangzhou University, Yangzhou, Jiangsu, China *Corresponding Author

Abstract

This paper explores the transformative potential of large language models (LLMs), such as GPT-based systems, in foreign language education. By addressing current challenges in language acquisition and presenting innovative applications across listening, speaking, reading, and writing, the study underscores how LLMs enhance personalized, immersive learning experiences. The paper also discusses technical, ethical, and pedagogical challenges, providing actionable insights for educators, developers, and policymakers.

Keywords

LLMs; Foreign Language Education; Interactive Learning

References

[1]. Brown, T., et al. "Language Models Are Few-Shot Learners." NeurIPS, 2020. 7. [2]. Kasneci, E., et al. "ChatGPT for Education: A Guide for Educators." arXiv, 2023.3. [3]. Duolingo AI Research Team. "AI in Language Learning: Enhancing User Experience with Adaptive Models." 2024.1