• ISSN: 2382-6282 (Print); 2972-3108 (Online)
    • Abbreviated Title: Int. J. Lang. Lit. Linguist.
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    • DOI: 10.18178/IJLLL
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HOME > Archives > 2025 > Volume 11 Number 4 (2025) >
IJLLL 2025 Vol.11(4): 195-197
DOI: 10.18178/IJLLL.2025.11.4.599

The Future of AI in Language Learning

Wang Yaoguang
Theory of Marxism, School of Marxism, Northwestern Polytechnical University, Xi’an, China
Email: 615781117@qq.com (W.Y.G.)

Manuscript received February 14, 2025; accepted June 6, 2025; published August 20, 2025.

Abstract—Incorporating artificial intelligence in language learning is one of the significant pedagogical shifts. Intelligent tutoring systems, speech recognition systems, and other adaptive applications provide personalised and interactive training. The theoretical background of this paper includes an analysis of the theoretical frameworks of AI in language learning and the identification of current literature, as well as practical uses, advantages, and limitations. Using the current state of knowledge acquired from different empirical studies, the study outlines the possibilities of applying AI as a beneficial tool in language learning but also raises concerns about ethics, privacy, interpersonal interaction, and the value of human connection. Future research will refine AI-human collaboration to create a balanced, effective learning environment.

Keywords—Artificial Intelligence (AI), language learning, Intelligent Computer-Assisted Language Learning (ICALL), ethical AI deployment, human-AI collaboration

Cite: Wang Yaoguang, "The Future of AI in Language Learning," International Journal of Languages, Literature and Linguistics, vol. 11, no. 4, pp. 195-197, 2025.

Copyright © 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

 

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