The role of AI in optimizing maritime English learning for students with low language proficiency
Abstract
This article explores the potential of using artificial intelligence (AI) technologies to optimize the learning process in the context of teaching Maritime English to higher education students with low language proficiency. International research has demonstrated the high effectiveness of artificial intelligence applications in language learning, particularly in supporting students who face difficulties in mastering professional terminology and complex linguistic structures. AI is noted for its ability to support personalized learning approaches, as it helps identify and address studentsʼ individual weaknesses while enabling educators to create tailored learning materials that correspond to specific educational needs and learning objectives. The study also highlights the necessity for more comprehensive research on the integration of AI technologies into language training within Ukrainian higher education institutions, considering the growing demand for digital tools in maritime education.
The article presents the practical experience of teachers of Kherson State Maritime Academy in optimizing the curriculum of Maritime English course through the use of AI-powered chatbots, including ChatGPT, Microsoft Copilot, and Google Gemini, to support students with low language proficiency. Examples of simplified texts and tasks from “Ship Arrangement” module are provided as it contains specialized terminology which can be challenging for students with limited language skills.
The integration of AI technologies into the learning process has enables students with low language proficiency to successfully grasp complex professional topics and prepare for practical shipboard activities. The findings demonstrate that AI not only facilitates a personalized approach to teaching Maritime English but also enhances studentsʼ competency development, promotes more effective material comprehension, and supports development of communication skills.
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References
Gabelko, O.M. (2022). Peculiarities of foreign language teaching in mixed-ability groups of non-linguistic specialities. Academic Notes. Series: Pedagogical Sciences. 207, pp. 118-122 [in Ukrainian]. DOI: https://doi.org/10.36550/2415-7988-2022-1-207-118-122
Plokhuta, T.M., Nefedchenko, O.I., Aleksakhina, T.O. (2025). AI: Transforming the Process of Foreign Language Teaching in Ukrainian Higher Education Instituations. Bulletin of Academician Stepan Demyanchuk International University of Economics and Humanities. Series: Pedagogy and Psychology. 1, pp. 119-125 [in Ukrainian]. DOI: https://doi.org/10.32782/3041-2021/2025-1-18
Althobaiti, A. (2025). English Language Learning with AI: Proficiency Gains and Learner Experience. World Journal of English Language. 15 (8), pp. 228-238. DOI: https://doi.org/10.5430/wjel.v15n8p228
Crompton, H., Edmett, A., Ichaporia, N., Burke, D. (2024). AI and English language teaching: Affordances and challenges. British Journal of Educational Technology. 55 (6), pp. 2503-2529. DOI: https://doi.org/10.1111/bjet.13460
Sharadgah, Talha A., Sa`di, Rami A. (2022). A Systematic Review of Research on the Use of Artificial Intelligence in English Language Teaching and Learning (2015-2021): What are the Current Effects? Journal of Information Technology Education: Research. 21, pp. 337-377. DOI: https://doi.org/10.28945/4999
Son, J., Ružić, N.K., Philpott, A. (2025). Artificial intelligence technologies and applications for language learning and teaching. Journal of China Computer-Assisted Language Learning. 5 (1), pp. 94-112. DOI: https://doi.org/10.1515/jccall-2023-0015
Zakharchenko, T., Bell, A., Drushchak, N., Konopatska, O., Khan, F.A., Stoyanovich, J. (2025). Estimating the impact of the Russian invasion on the displacement of graduating high school students in Ukraine. Humanities and Social Sciences Communications. 12, pp. 1-10. DOI: https://doi.org/10.1057/s41599-025-04675-5
