Technology-Facilitated Oral English Learning Among Chinese University Students: ChatGPT as the Digital Future
DOI:
https://doi.org/10.54097/hykhr672Keywords:
ChatGPT, Computer-Assisted Language Learning, Mobile-Assisted Language Learning, Technology-Facilitated Oral English Learning, AI-Facilitated English Learning.Abstract
In the digital age, the quest to improve oral English proficiency among Chinese university students has led to the exploration of innovative solutions, with ChatGPT emerging as a promising tool. This paper explores the integration of ChatGPT into English language learning with the aim of overcoming the traditional barriers faced by learners. The comprehensive analysis of this study shows that ChatGPT, powered by advanced Natural Language Processing and Large Language Model technologies, significantly improves speaking skills by providing personalised, interactive practice opportunities. The findings suggest that while ChatGPT has the potential to revolutionise traditional learning methods and democratise language learning, its full potential can only be realised when integrated into holistic learning strategies that also emphasise speaking and listening skills. The study highlights the importance of addressing the limitations and ethical considerations of ChatGPT to ensure that it complements human teaching methods, thereby enhancing the overall learning experience. The implications of this research go beyond the academic, offering insights into pedagogical innovation and the future of language education in a technology-driven world.
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References
E. Dyvik, “Most Spoken Languages in the World.” Statista, Jun. 16, 2023. Accessed on Jan. 3, 2024. https://www.statista.com/statistics/266808/the-most-spoken-languages-worldwide/.
Y. Zheng and L. Cheng, “Test Review: College English Test (CET) in China.” Language Testing, vol. 25, no. 3, pp. 408–417, 2008.
D. Nunan and R. Carter, The Cambridge Guide to Teaching English to Speakers of Other Languages. Cambridge: Cambridge University Press, 2001.
Z. Gan, G. Humphreys, and L. Hamp-Lyons, “Understanding Successful and Unsuccessful EFL Students in Chinese Universities.” The Modern Language Journal, vol. 88, no. 2, pp. 229–244, 2004.
A. B. M. Tsui, “Complexities of Identity Formation: A Narrative Inquiry of an EFL Teacher.” TESOL Quarterly, vol. 41, no. 4, pp. 657–680, 2007.
O. F. Hibatullah, “The Challenges of International EFL Students to Learn English in a Non-English Speaking Country.” Journal of Foreign Language Teaching and Learning, vol. 4, no. 2, 2019.
H. Yu and S. Nazir, “Role of 5G and Artificial Intelligence for Research and Transformation of English Situational Teaching in Higher Studies.” Mobile Information Systems, vol. 2021, pp. 1–16, 2021.
N. R. Ikonta and N. C. Ugonna, “The Effect of Rosetta Stone (Computer-Assisted Language Learning) Software on English as Second Language Students’ Proficiency in English Language.” African Educational Research Journal, vol. 3, no. 1, pp. 69–79, 2015.
M. Shishido, “Developing and Evaluating the E-Learning Material for Speaking Practice with the Latest AI Technology.” IICE Official Conference Proceedings, 2021.
E. Ismail Al-Oqaily, A. R. Hj Salam, and Dr. K. Si Na, “The Use of Blackboard in the Practice of English-Speaking Skills among Saudi EFL Learners during COVID-19.” Arab World English Journal, no. 2, pp. 342–355, 2022.
A. Alamer and A. Al-Khateeb, “Effects of Using the WhatsApp Application on Language Learners Motivation: A Controlled Investigation Using Structural Equation Modelling.” Computer Assisted Language Learning, pp. 1–27, 2021.
P. Wang, H. Xie, X. Zhou, C. Xia, R. Zhang, and J. Yin, “The Use of APP-based Oral English Practice in 8-Years Program Medical Students.” Chinese Journal of Medical Education, vol. 38, no. 4, pp. 537–541, 2018.
S. Chen, “The Influence of Teacher Audio Feedback via WeChat Mini Program Sharedaka on Chinese College Students’ English Speaking Ability.” Theory and Practice in Language Studies, vol. 11, no. 12, pp. 1610–1621, 2021.
K. Johnson and H. Johnson, Encyclopedic Dictionary of Applied Linguistics: A Handbook for Language Teaching. Oxford: Blackwell Publishers, 1998.
W. Holmes and I. Tuomi, “State of the Art and Practice in AI in Education.” European Journal of Education, vol. 57, no. 4, pp. 542–570, 2022.
G. Sha, “AI-based Chatterbots and Spoken English Teaching: A Critical Analysis.” Computer Assisted Language Learning, vol. 22, no. 3, pp. 269–281, 2009.
A. M. Mohamed, “Exploring the Potential of an AI-based Chatbot (ChatGPT) in Enhancing English as a Foreign Language (EFL) Teaching: Perceptions of EFL Faculty Members.” Education and Information Technologies, 2023.
Y.-C. Chien, T.-T. Wu, C.-H. Lai, and Y.-M. Huang, “Investigation of the Influence of Artificial Intelligence Markup Language-Based LINE ChatBot in Contextual English Learning.” Frontiers in Psychology, vol. 13, 2022.
T. Gally, “Close Enough to Human: Artificial Intelligence and the Future of English Education.” 2023.
K. Chhaya, A. Khanzode, and R. Sarode, “Advantages and Disadvantages of Artificial Intelligence and Machine Learning: A Literature Review.” 2020.
R. Rebolledo Font de la Vall and F. González Araya, “Exploring the Benefits and Challenges of AI-Language Learning Tools.” International Journal of Social Sciences and Humanities Invention, vol. 10, no. 01, pp. 7569–7576, 2023.
M. Waldrop, “Beyond Deep Learning.” Proceedings of the National Academy of Sciences of the United States of America, vol. 119, no. 38, 2022.
S. Akgun and C. Greenhow, “Artificial Intelligence in Education: Addressing Ethical Challenges in K-12 Settings.” AI and Ethics, vol. 2, no. 3, 2021.
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