Position: LLMs Can be Good Tutors in English Education

• URL: http://arxiv.org/abs/2502.05467v2
• Date: Sat, 06 Sep 2025 20:45:10 GMT
• Title: Position: LLMs Can be Good Tutors in English Education
• Authors: Jingheng Ye, Shen Wang, Deqing Zou, Yibo Yan, Kun Wang, Hai-Tao Zheng, Ruitong Liu, Zenglin Xu, Irwin King, Philip S. Yu, Qingsong Wen,
• Abstract summary: Large language models (LLMs) have the potential to serve as effective tutors in English Education.<n>LLMs can play three critical roles: as data enhancers, improving the creation of learning materials or serving as student simulations.
• Score: 120.25980336297444
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: While recent efforts have begun integrating large language models (LLMs) into English education, they often rely on traditional approaches to learning tasks without fully embracing educational methodologies, thus lacking adaptability to language learning. To address this gap, we argue that LLMs have the potential to serve as effective tutors in English Education. Specifically, LLMs can play three critical roles: (1) as data enhancers, improving the creation of learning materials or serving as student simulations; (2) as task predictors, serving as learner assessment or optimizing learning pathway; and (3) as agents, enabling personalized and inclusive education. We encourage interdisciplinary research to explore these roles, fostering innovation while addressing challenges and risks, ultimately advancing English Education through the thoughtful integration of LLMs.

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