AI Chatbots for Language Practices

Authors

DOI:

https://doi.org/10.54855/ijaile.24115

Keywords:

AI, ChatGPT, Chatbot, AI powered-Chatbot

Abstract

In recent years, the possibility of enhancing speaking skills has drawn some serious attention from the language education field as AI-powered tools such as chatbots—such as ChatGPT—gain in popularity. While questions remain about their long-term efficacy, their potential to deliver real-time feedback is especially important in non-Western countries like Vietnam. This paper explores AI avatars' potential for overcoming traditional language learning issues—apprehension, inadequate speaking practice, and low levels of quality feedback customization. This research study focuses on the potential of artificial intelligence tools for language learners and the challenges in making meaningful, authentic conversational interactions with cultural adaptability and scalability through deep analysis of existing research and real-world applications. In light of this, the paper emphasizes that more research must be conducted to improve the use of AI avatars within varied educational settings and enhance their impact on oral communication abilities.

Author Biographies

  • Nguyen Ngoc Hoang Vy, Ho Chi Minh City University of Industry and Trade, Vietnam

    Nguyen Ngoc Hoang Vy is a lecturer of the Foreign Language Faculty at Ho Chi Minh City University of Industry and Trade, Ho Chi Minh City, Viet Nam. She earned her Master degree in TESOL at PuKyeong National University (PKNU) in South Korea in 2016. Nguyen Ngoc Hoang Vy used to work as teaching assistant at PKNU during her time of studies. She has published several research papers in scopus and ISI-indexed. She used to work as a visiting lecturer for HCMC University of Education, HCMC Open University and Van Hien University. As a full time staff of Ho Chi Minh City University of Industry and Trade, she has been teaching ESP for students and conducted research in e-learning. Her interests are also in teaching language skills and technology-enhanced learning.

  • Pham Vu Phi Ho, Faculty of Foreign Languages, Van Lang University, Ho Chi Minh City, Vietnam

    Assoc. Prof. Pham Vu Phi Ho, Ph.D., Assoc. Dean of the Faculty of Foreign Languages, Van Lang University, Vietnam. He used to be the vice president of Ba Ria – Vung Tau University and vice president of Van Hien University, Vietnam. Pham has published 70 research articles in both local and International Journals, such as Computer-Assisted Language Learning, SAGE Open, System, and Journal of Psycholinguist Research (ISI/Scopus-indexed), and nine books and course books, 3-course books were used for both the undergraduate and graduate levels at Van Lang University, HCMC Open University, Vietnam, and Lourdes College, Higher Education Department, Cagayan de Oro City, Philippines. He has international experience in teaching English at Suranaree University of Technology, Thailand, and Gyeongju University, South Korea. He is the Vice President for Administrative Affairs of AsiaCALL and the managing editor of its Online Journal. He is now the Editor-in-chief of the International Journal of TESOL & Education. He is the editor-in-chief for several projects published by Atlantis Press, which is part of Springer. He is an editorial staff for the Asian Journal of Applied Linguistics (Scopus-Q2), and a peer reviewer for some international Journals indexed in ISI/Scopus such as Computer Assisted Language Learning, Open Sage... He is an editor of an Edited Book published by Springer and now an editor for another Edited Book of IGI Global, entitled “Implementing AI Tools for Language Teaching and Learning.”

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Published

09/19/2024

Issue

Vol. 1 No. 1 (2024): AI in Language Education

Section

Literature Review

License

Copyright (c) 2024 Nguyen Ngoc Hoang Vy, Pham Vu Phi Ho (Author)

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

AI Chatbots for Language Practices. (2024). International Journal of AI in Language Education, 1(1), 56-67. https://doi.org/10.54855/ijaile.24115

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