The Responsible Use of Artificial Intelligence in EFL Learning
DOI:
https://doi.org/10.24114/tj.v15i2.75405Keywords:
Responsible Use of AI, EFL Learning, Artificial IntelligenceAbstract
The rapid development of Artificial Intelligence (AI), particularly generative technologies such as ChatGPT, has transformed English as a Foreign Language (EFL) learning by providing accessible and interactive learning support. Despite its benefits, the responsible use of AI in educational settings remains a significant concern. This study examines the integration of AI in EFL learning with a focus on academic integrity and effective language learning practices. Using a qualitative library research approach, relevant literature on AI-assisted language learning, digital literacy, and educational ethics was reviewed and synthesized. The findings reveal that AI supports EFL learning through personalized instruction, immediate feedback, and increased learner autonomy. However, challenges such as overreliance on AI, reduced critical thinking, and risks of academic misuse, including plagiarism, were also identified. Ethical principles, including transparency, accountability, and appropriate pedagogical guidance, are essential for responsible implementation. The study concludes that AI can enhance EFL learning when integrated in a balanced and ethical manner that supports, rather than replaces, human learning processes.
References
Alam, A. (2021, November 26). Possibilities and apprehensions in the landscape of artificial intelligence in education [Paper presentation]. 2021 International Conference on Computational Intelligence and Computing Applications (ICCICA), Nagpur, India. https://doi.org/10.1109/ICCICA52458.2021.9697272
Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510
Chu, C, H., Hwang, G, H., Tu, Y, F., & Yang, K, H. (2022). Roles and research trends of artificial intelligence in higher education: A systematic review of the top 50 most-cited articles. Australasian Journal of Educational Technology, 38(3), 22–42. https://ajet.org.au/index.php/AJET/article/view/7526
Crystal, D. (2003). English as a global language (2nd ed.). Cambridge University Press.
Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., Luetge, C., Madelin, R., Pagallo, R., Pagallo, U., Rossi, F., Schafer, B., Valcke, P., & Vayena, E. (2018). AI4People—An ethical framework for a good AI society. minds and machines, 28, 689–707. https://doi.org/10.1007/s11023-018-9482-5
Godwin-Jones, R. (2022). Partnering with AI: Intelligent writing assistance and in-structured language learning. Language Learning & Technology, 26(2), 5–24. https://doi.org/10.64152/10125/73474
Graddol, D. (2006). English next. British Council.
Holmes, W., Bialik, M., & Fadel, C. (2022). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
Holmes, W., Pomsta-Porayska, K., Holstein, K., & Sutherland, E. (2021). Ethics of AI in education: Towards a community-wide framework. International Journal of Artificial Intelligence in Education. 32(3), 504-526. https://doi.org/10.1007/s40593-021-00239-1
Jenkins, J. (2014). Global Englishes: A Resource Book for Students (3rd ed.). Routledge. https://doi.org/10.4324/9781315761596
Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier. E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., . . . Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. 103. 102274. http://doi.org/10.1016/j.lindif.2023.102274
Klontzas, M, E., Fanni, S, C., & Neri, E. (2023). Intoduction to Artificial Intelligence. Springer Cham. https://doi.org/10.1007/978-3-031-25928-9
Kohnke, L., Moorhouse, B. L., & Zou, D. (2023). ChatGPT for language teaching and learning. RELC Journal, 54(2), 537–550. https://doi.org/10.1177/00336882231162868
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson. https://www.pearson.com/content/dam/corporate/global/pearson-dot-com/files/innovation/Intelligence-Unleashed-Publication.pdf
Ouyang, F., & Jiao, P. (2021). Artificial intelligence in education: The three paradigms. Computers and Education: Artificial Intelligence, 2, 100020. https://doi.org/10.1016/j.caeai.2021.100020
Risko, E. F., & Gilbert, S. J. (2016). Cognitive offloading. Trends in Cognitive Sciences, 20(9), 676–688. https://doi.org/10.1016/j.tics.2016.07.002
Selwyn, N. (2019). Should robots replace teachers? AI and the future of education. Polity Press.
Stevenson, M., & Phakiti, A. (2014). The effects of computer-generated feedback on writing quality. Assessing Writing, 19, 51–65. https://doi.org/10.1016/j.asw.2013.11.007
Warschauer, M., & Kern, R. (2000). Network-based language teaching: Concepts and practice. Cambridge University Press. https://doi.org/10.1017/CBO9781139524735
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Artificial intelligence in higher education: A systematic review. International Journal of Educational Technology in Higher Education, 16, 39. https://doi.org/10.1186/s41239-019-0171-0
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