Transforming Foreign Language Education: The Role of AI-Based Adaptive Learning Systems in Enhancing Personalized Learning Amid Global Instability
DOI:
https://doi.org/10.56294/mr2025179Keywords:
adaptive learning systems, artificial intelligence, EdTech, personalized learning, foreign language learning, flexible learning pathsAbstract
The article addressed the urgent issue of personalized foreign language learning during periods of instability, such as war, economic crises, and pandemics. It explored the effectiveness of using educational technology (EdTech) and artificial intelligence (AI) to adapt the learning process to individual student needs. The aim of the study was to analyze the mechanisms of integration of adaptive AI systems in foreign language teaching to achieve maximum personalization of learning and to develop recommendations for their effective use in order to increase the resilience of the educational process to the challenges of global instability. The focus lay on developing future foreign language teachers’ metacommunicative competence, encompassing both organizational (grammatical and textual) and pragmatic (illocutionary and sociolinguistic) components. The study, conducted at Vasyl Stefanyk Precarpathian National University, analyzed students’ awareness of and readiness to use AI in language instruction. The article provided clear recommendations for the effective application of AI tools, including personalized learning, spoken language practice, writing skill development, interactive instruction, and the integration of online resources. Findings indicated that AI-supported foreign language teaching enhanced motivation, improved learning efficiency, and increased accessibility while fostering essential 21st-century skills. However, the research also emphasized the need to address ethical concerns and ensure high-quality teacher training for the successful integration of such technologies. The study identified various AI tools that supported students in enhancing their language proficiency and presented examples of the most commonly used ones. It concluded that AI had the potential to make language learning more personalized, engaging, and effective, especially in contexts marked by instability. The article was intended for teachers, methodologists, students, and all those interested in innovative approaches to foreign language education in challenging circumstances.
References
Crompton H, Edmett A, Ichaporia N, Burke D. AI and English language teaching: Affordances and challenges. Br J Educ Technol. 2024;7:1–27. https://www.researchgate.net/publication/379438489
Hrosul V, Shinkarenko I. Information technologies and digital transformation in the system of adaptive development of retail enterprises. Economics. 2023;1(65):86–94. https://economics.net.ua/files/archive/2023/No1/86.pdf
Almehmadi W. Exploring the potential of AI techniques in teaching English as a foreign language: A systematic literature review. Asian J Soc Sci Manag Stud. 2024;11:22–31. https://www.researchgate.net/publication/380086212
Kartal G. Transforming the language teaching experience in the age of AI. Int Sci J Educ Linguist. 2023;3:127–35. https://doi.org/10.4018/978-1-6684-9893-4
Androschuk AG, Malyuga OS. The use of artificial intelligence in higher education: status and trends. Int Sci J Educ Linguist. 2024;3(2):27–35. https://isg-journal.com/isjel/article/download/661/376
Khasawneh MAS. Analyzing the strategic effects of AI-powered virtual and augmented reality systems in English language education at the tertiary level. Res J Adv Humanit. 2024;5(3):188–202. https://doi.org/10.58256/j74yfg59
Yan D. Impact of ChatGPT on learners in a L2 writing practicum: An exploratory investigation. Educ Inf Technol. 2023;28(11):13943–67. https://doi.org/10.1007/s10639-023-11742-4
Yang F. AI in language education: Enhancing learners’ speaking awareness through AI-supported training. Int J Inf Educ Technol. 2024;14(6):828–33. https://doi.org/10.18178/ijiet.2024.14.6.2108
Okhotnikova O, Korpachova S. Artificial intelligence in public administration of land relations: problems and prospects. Law Rev Kyiv Univ Law. 2021;1:132–5. https://www.nayka.com.ua/index.php/investplan/article/download/3047/3083/7411
Vlčková I. The use of artificial intelligence in teaching foreign languages. ACC J. 2023;29:124–36. https://sciendo.com/article/10.2478/acc-2023-0020
Baranovsky SV, Bomba AYa, Lyashko SI. Generalization of the antiviral immune response model for complex consideration of diffusion perturbations, body temperature response and logistic antigen population dynamics. Cybern Syst Anal. 2022;58(4):576–92. https://doi.org/10.1007/s10559-022-00491-w
Bykov V, Mikulowski D, Moravcik O, Svetsky S, Shyshkina M. The use of the cloud-based open learning and research platform for collaboration in virtual teams. Inf Technol Learn Tools. 2020;76(2):304–20. https://doi.org/10.33407/itlt.v76i2.3706
Chaka C. Fourth industrial revolution – a review of applications, prospects, and challenges for artificial intelligence, robotics and blockchain in higher education. Res Pract Technol Enhanc Learn. 2023;18(2):78–83. http://rptel.apsce.net/index.php/RPTEL/article/view/2023-18002
González-González CS, Muñoz-Arteaga J, Collazos CA. Educational inclusion through ICT. IEEE Rev Iberoam Tecnol Aprendiz. 2021;16:352–4. https://ieeexplore.ieee.org/document/9686555
Mohammadkarimi E. Exploring the use of artificial intelligence in promoting English language pronunciation skills. LLT J Lang Lang Teach. 2024;27(1):98–115. https://doi.org/10.24071/llt.v27i1.8151
Wei L. Artificial intelligence in language instruction: Impact on English learning achievement, L2 motivation, and self-regulated learning. Front Psychol. 2023;14:123–32. https://doi.org/10.3389/fpsyg.2023.1261955
García-Martínez I, Fernández-Batanero JM, Fernández-Cerero J, León SP. Analysing the impact of artificial intelligence and computational sciences on student performance: Systematic review and meta-analysis. J New Approaches Educ Res. 2023;12(1):171–97. https://doi.org/10.7821/naer.2023.1.1240
Salas-Pilco SZ, Yang Y. Artificial intelligence applications in Latin American higher education: A systematic review. Int J Educ Technol High Educ. 2022;19(1):154–9. https://doi.org/10.1186/s41239-022-00326-w
Yara O, Brazheyev A, Golovko L, Bashkatova V. Legal regulation of the use of artificial intelligence: Problems and development prospects. Eur J Sustain Dev. 2021;10(1):281. https://doi.org/10.14207/ejsd.2021.v10n1p281
Zhukevych I, Spiricheva O. Transformation of foreign language learning: artificial intelligence as a tool for developing students’ language skills. Int Sci J Educ Linguist. 2024;3(3):45–55. https://doi.org/10.46299/j.isjel.20240303.06
Khoudri I, Zeriouh M, Fauzan U, Khoudri A. The use of AI in learning English: A comparative study between Moroccan and Indonesian undergraduate students from the English department. Edelweiss Appl Sci Technol. 2024;8(4):1271–82. https://doi.org/10.55214/25768484.v8i4.1504
Wahyuni S, Putro N, Efendi A. Trends in AI-infused English language learning: A comprehensive bibliometric and content review. Adv Educ. 2024;25:162–78. https://doi.org/10.20535/2410-8286.315035
Baker J, Baker K. Using speech recognition software to enhance L2 pronunciation learning: A meta-analysis. Comput Assist Lang Learn Teach. 2018;31(2):221–41. https://isg-journal.com/isjel/article/view/718
Winaitham W. The scientific review of AI functions of enhancement English learning and teaching. In: 2022 13th Int Conf Inf Commun Technol Converg (ICTC). 2022. p. 148–52. https://doi.org/10.1109/ICTC55196.2022.9952632
Akbaeva G, Asanova D. Peculiarities in developing English teacher professional competence (based on the European Standard for AI-teachers). Bull Karaganda State Univ. 2020;9:156–65. https://articlekz.com/article/33420
Lokaryeva GV, Bazhmina EA. Personalization in education: students' management of their own learning trajectory using digital technologies. Inf Technol Learn Tools. 2021;86(6):187–207. https://doi.org/10.33407/itlt.v86i6.4103
Yatsyna Y, Kudinov I. Directions for the implementation of innovative analytical and statistical technologies as a tool for corruption counteraction. Laisvalaikio Tyrimai. 2023;2(22):17–29. https://doi.org/10.33607/elt.v2i22.1440
Marsh D, Mehisto P, Wolff D, Jesús M, Frigols M. European Framework for CLIL Teacher Education; 2024. https://www.english-efl.com/wp-content/uploads/pdf/CLIL-EN.pdf
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Roman Poznanskyy, Liliia Pryimak, Halyna Apelt, Nadiia Savchuk, Liliia Kopchak (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.
