Enhancing university remote language learning through innovative applications of artificial intelligence technologies amidst global challenges

Keywords: Artificial Intelligence (AI), foreign language, innovative applications personalised education, remote education

Abstract

In recent years, the integration of artificial intelligence (AI) technologies has revolutionised various industries, and education is no exception. One area where AI is making significant strides is in distance learning of foreign languages at the university level. The purpose of the article is to examine the many ways in which AI technologies can be used to improve the efficiency and effectiveness of foreign language learning in virtual classrooms based on a personalised approach to learning and to outline an algorithm for utilizing artificial intelligence in foreign language learning, which aims to provide a structured approach for integrating AI tools and technologies into language learning processes. The scientific novelty of the study lies in its comprehensive exploration and integration of cutting-edge AI technologies within the context of university remote learning for foreign languages. The emphasis on personalized learning paths and adaptive learning approaches is a novel aspect. The study delves into how AI algorithms analyse individual learner data to tailor educational content, providing a customized and adaptive learning experience. This focus on individualized instruction represents a departure from traditional one-size-fits-all language education methods. Research Methods. To conduct a comprehensive study on the use of artificial intelligence technologies in university remote learning of foreign languages, a mixed-methods research approach is employed. This involves both quantitative and qualitative research methods to gather a holistic understanding of the impact and effectiveness of AI technologies in language education. Conclusions. Integrating AI technologies into university remote learning for foreign languages represents a transformative shift in how languages are taught and acquired. By personalizing learning paths, providing intelligent tutoring, incorporating conversational practice, utilizing gamification, automating assessment, and leveraging virtual reality, AI is reshaping language education to be more engaging, effective, and tailored to individual student needs. As these technologies continue to evolve, the future of language learning promises to be dynamic, interactive, and increasingly accessible to learners worldwide.

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References

Bond, M., Khosravi, H., De Laat, M. et al. (2024). A meta systematic review of artificial intelligence in higher education: a call for increased ethics, collaboration, and rigour. International Journal of Educational Technology in Higher Education, 21:4. DOI: https://doi.org/10.1186/s41239-023-00436-z

Crompton, H., Burke, D. (2023). Artificial intelligence in higher education: The state of the field. International Journal of Educational Technology in Higher Education, 20 (1), pp. 1-22. DOI: https://doi.org/10.1186/s41239-023-00392-8

Huertas-Abril, Cristina A., Palacios-Hidalgo, Fr.J. (2023). New Possibilities of Artificial Intelligence-Assisted Language Learning (AIALL): Comparing Visions from the East and the West. Education Sciences, 13, 12: 1234. DOI: https://doi.org/10.3390/educsci13121234

Hwang, G.J., Xie, H., Wah, B.W., Gasevic, D. (2020). Vision, challenges, roles and research issues of Artificial Intelligence in Education. Computers & Education: Artificial Intelligence, 1. DOI: https://doi.org/10.1016/j.caeai.2020.100001

Lee, J.H., Shin, D., Noh, W. (2023). Artificial Intelligence-Based Content Generator Technology for Young English-as-a-Foreign-Language Learners’ Reading Enjoyment. RELC Journal, 54 (2), pp. 508-516. DOI: https://doi.org/10.1177/00336882231165060

Pacheco-Mendoza, S., Guevara, C., Mayorga-Albán, A., Fernández-Escobar, J. (2023). Artificial Intelligence in Higher Education: A Predictive Model for Academic Performance. Education Sciences 13, 10: 990. DOI: https://doi.org/10.3390/educsci13100990

Pisica, A.I., Tudor Edu, Rodica Milena Zaharia, Razvan Zaharia. (2023). Implementing Artificial Intelligence in Higher Education: Pros and Cons from the Perspectives of Academics. Societies, 13, 5: 118. DOI: https://doi.org/10.3390/soc13050118

Rybinska, Y., Sarnovska, N., Kholmakova, Y., Nikolaieva, T., Burkalo, N., Kuznetsova, A. (2023). Teaching English During War Time. How is it Different? Psychological and Pedagogical Aspects. Conhecimento & Diversidade, 15 (37), pp. 171-192. DOI: https://doi.org/10.18316/rcd.v15i37.10945

Qiao, H., Zhao, A. (2023). Artificial intelligence-based language learning: illuminating the impact on speaking skills and self-regulation in Chinese EFL context. Front Psychol. 2, 14: 1255594. DOI: https://doi.org/10.3389/fpsyg.2023.1255594

Sarnovska, N. (2022). Blended Learning Technology as One of the Foreign Language Teaching Methods in the Conditions of Education During Wartime. Grail of Science, 12-13, pp. 458-462. DOI: https://doi.org/10.36074/grail-of-science.29.04.2022.079

Published
2024-05-31
How to Cite
Sarnovska, N., Rybinska, J., & Mykhailichenko, Y. (2024). Enhancing university remote language learning through innovative applications of artificial intelligence technologies amidst global challenges. Teaching Languages at Higher Educational Establishments at the Present Stage. Intersubject Relations, (44), 151-165. https://doi.org/10.26565/2073-4379-2024-44-10