ARTIFICIAL INTELLIGENCE AS AN INNOVATIVE TOOL IN ESP COURSES
DOI:
https://doi.org/10.46991/FLSP.2025.25.035Keywords:
ESP course, artificial intelligence (AI), adaptive learning techniques, AI tools, intelligent machines, speech synthesis, chatbotAbstract
English for Specific Purposes (ESP) courses are designed to meet the language needs of learners in professional and academic contexts. In recent years, the integration of artificial intelligence (AI) tools into ESP instruction has attracted growing interest among language teaching researchers and practitioners, who recognize AI’s potential to improve learning outcomes, provide personalized instruction, and address the diverse needs of learners. AI technologies, including chatbots, intelligent tutoring systems, speech synthesis, and adaptive learning platforms, offer innovative approaches to language teaching by providing interactive, responsive, and data-driven learning experiences.
This article explores the advantages, limitations, and practical applications of AI tools in ESP courses. It presents examples of AI implementation, analyzes their effectiveness in developing learners' linguistic competence and engagement, and discusses pedagogical strategies for integrating these tools into a course design. While AI offers significant benefits, such as individualized feedback, error correction, and increased learner autonomy, it also presents challenges, including technical requirements, ethical considerations, and the need for teacher training. The study evaluates the opportunities and limitations of AI in ESP instruction and proposes measures to ensure effective integration and promote innovative, adaptive, and learner-centered approaches.
References
1. Adolphs, S., Clark, L., Dörnyei, Z., Glover, T., Henry, A., Muir, C., & Valstar, M. (2018). Digital innovations in L2 motivation: Harnessing the power of the Ideal L2 Self. System, 78, 173–185. https://doi.org/10.1016/j.system.2018.07.014
2. Chon, Y. V., Shin, D., & Kim, G. E. (2021). Comparing L2 learners' writing against parallel machine-translated texts: Raters' assessment, linguistic complexity and errors. System, 96, 102408.
3. Dizon, G., & Tang, D. (2019). A pilot study of Alexa for autonomous second language learning. In F. Meunier, J. Van de Vyver, L. Bradley, & S. (Eds.), CALL and complexity – Short papers from Euro CALL 2019 (pp. 107–112). Research-publishing.net.
4. Haristiani, N. (2019). Artificial Intelligence (AI) Chatbot as Language Learning Medium: An inquiry. Journal of Physics: Conference Series, 1387, 012020. https://doi.org/10.1088/1742-6596/1387/1/012020
5. Kovačević, D. (2023). Use of ChatGPT in ESP teaching process. 22nd International Symposium. https://doi.org/10.1109/INFOTEH57020.2023.10094133
6. Liu, C., Hou, J., Tu, Y. F., Wang, Y., & Hwang, G. J. (2021). Incorporating a reflective thinking promoting mechanism into artificial intelligence-supported English writing environments. Interactive Learning Environments, 1–19.
7. Liu, S.-C., & Hung, P.-Y. (2016). Teaching pronunciation with computer-assisted pronunciation instruction in a technological university. Universal Journal of Educational Research, 4(9), 1939–1943.
8. Lo, S. (2023). Neural machine translation in EFL classrooms: Learners' vocabulary improvement, immediate vocabulary retention and delayed vocabulary retention. Computer Assisted Language Learning, 1–20. https://doi.org/10.1080/09588221.2023.2207603
9. Luo, M., & Cheng, L. (2020). Exploration of interactive foreign language teaching mode based on artificial intelligence. In Proceedings of 2020 International Conference on Computer Vision, Image and Deep Learning (pp. 285–290). IEEE. https://doi.org/10.1109/CVIDL51233.2020.00084
10. Ma, G. (2021). The current situations of mobile assisted language learning. In J. MacIntyre, J. Zhao, & X. Ma (Eds.), Proceedings of the International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (pp. 675–679).
11. McCarthy, J., Minsky, M. L., Rochester, N., & Shannon, C. E. (2006). A proposal for the Dartmouth Summer Research Project on Artificial Intelligence, August 31, 1955. AI Magazine, 27(4), 12. https://doi.org/10.1609/aimag.v27i4.1904
12. Sussmann, M. (2024). AI Tools for the four skills in English language learning. TESOL Connections, April 2024, 2–4. https://www.tesol.org/articleslist/articles/ai-tools-for-the-four-skills-in-english-language-learning/
13. Vuong, Q.-H., La, V.-P., Nguyen, M.-H., Jin, R., La, M.-K., & Le, T.-T. (2023). AI's humanoid appearance can affect human perceptions of its emotional capability: Evidence from self-reported data in the U.S. International Journal of Human-Computer Interaction, 1–12. https://doi.org/10.1080/10447318.2023.2227828
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