Integrating generative AI into Language for Specific Purposes (LSP) training at university level

Abstract

The article examines the opportunities and challenges of integrating generative language models into professional foreign language teaching in higher education institutions. It explores theoretical frameworks for implementing neural networks in teaching processes, practical methodologies for using AI-based tools, and approaches to personalised learning pathways within autonomous AI-based environments. Findings indicate that AI technologies increase learner motivation, accelerate the acquisition of domain-specific vocabulary, and foster analytical skills. The article analyses metacognitive and cognitive learning strategies for which it is appropriate to use the capabilities of neural networks at the current stage of their development. However, their effectiveness remains dependent on teachers’ digital literacy and students’ self-regulated learning strategies. A critical challenge is to maintain a balance between technological integration and humanistic educational values. The authors present empirical evidence from classroom implementations, demonstrating the transformative potential of LLMs (Large Language Models) for modernising professional language education. The paper contributes to ongoing discussions on how to optimise human-AI collaboration in academic settings while maintaining pedagogical integrity.

References

1. Avramenko A.P., Bulanova E.R. 2024. Perspektivy razvitija samostojatel’noj raboty studentov v kontekste integracii tehnologij iskusstvennogo intellekta v inojazychnoe obrazovanie [Prospects of development of students’ independent work in the context of integration of artificial intelligence technologies in foreign language education]. Rema / Rhema, no. 1, pp. 79–91. (In Russ.)

2. Agafonova L.I., Hahalina M.C., Lagutina A.A., Pavlova O.N. 2022. Razrabotka adaptirovannyh jelektronnyh uchebnyh kursov po inostrannomu jazyku dlja slepyh i slabovidjashhih studentov pedagogicheskogo vuza [Development of adapted e-learning courses in foreign language for blind and visually impaired students of pedagogical university]. Vestnik Tomskogo gosudarstvennogo universiteta, no. 479, pp. 189–198. (In Russ.)

3. Bezukladnikov K.Je., Bezukladnikov V.K., Prohorova A.A. 2022. Issledovanie lingvocifrovoj kompetencii v kontekste obshhej funkcional’noj gramotnosti [Exploring linguodigital competence in the context of general functional literacy]. Vestnik Permskogo nacional’nogo issledovatel’skogo politehnicheskogo universiteta. Problemy jazykoznanija i pedagogiki, no. 2, pp. 105–121. (In Russ.)

4. Bolkunov I.A. 2024. Skvoznye cifrovye tehnologii v obrazovanii: ozhidanija i real’nost’ [Cross-cutting digital technologies in education: expectations and reality]. Problemy sovremennogo pedagogicheskogo obrazovanija, no. 85-1, pp. 53–56. URL: https://cyberleninka.ru/article/n/skvoznye-tsifrovye-tehnologii-v-obrazovanii-ozhidaniya-i-realnost (accessed: 24.04.2025). (In Russ.)

5. Galushko T.G. 2022. Cheloveko-orientirovannoe fidzhital- i didzhital-obrazovanie: cifrovizacija i gumanizacija [Human-oriented fijital and digital education: digitalisation and humanisation]. Izvestija RGPU im. A.I. Gercena, no. 204, pp. 25–34. URL: https://cyberleninka.ru/article/n/cheloveko-orientirovannoe-fidzhital-i-didzhital-obrazovanie-tsifro... (accessed: 24.04.2025). (In Russ.)

6. Zherebina E.A. 2018a. Rol’ metakognitivnyh navykov v obuchenii inostrannomu jazyku [The role of metacognitive skills in foreign language learning]. In Voroncova T.I. (ed.) Gercenovskie chtenija. Inostrannye jazyki [Herzen Readings. Foreign languages]. St. Petersburg: Herzen Russian State Pedagogical University of Russia, pp. 389–390. (In Russ.)

7. Zherebina E.A. 2018b. Aktual’nye problemy ispol’zovanija jelektronnyh obrazovatel’nyh resursov pri obuchenii inostrannomu jazyku [Actual problems of using electronic educational resources in teaching a foreign language]. In Bagramova N.V., Panteleeva L.V., Zherebina E.A. (ed.) Problemy sovremennoj filologii i lingvodidaktiki [Problems of modern philology and linguodidactics]. St. Petersburg: Herzen Russian State Pedagogical University of Russia, no. 9, pp. 119–125. (In Russ.)

8. Kaplunovich S.M., Kaplunovich I.Ja. 2024. Pedagog vs iskusstvennyj intellekt: sovremennye realii i perspektivy [Pedagogue vs artificial intelligence: current realities and prospects]. Gumanitarnye nauki, no. 2, pp. 15–20. URL: https://cyberleninka.ru/article/n/pedagog-vs-iskusstvennyy-intellekt-sovremennye-realii-i-perspektiv... (accessed: 24.04.2025). (In Russ.)

9. Mironova S.P. 2023. Soderzhanie i principy fidzhital-paradigmy v kontekste cifrovoj transformacii obrazovanija [Content and principles of fijital-paradigm in the context of digital transformation of education]. Problemy sovremennogo pedagogicheskogo obrazovanija, no. 81-2, pp. 452–455. URL: https://cyberleninka.ru/article/n/soderzhanie-i-printsipy-fidzhital-paradigmy-v-kontekste-tsifrovoy-... (accessed: 24.04.2025). (In Russ.)

10. Romanovich M.Ju., Shherbakova N.V. 2021. Obuchenie inostrannomu jazyku lic s ogranichennymi vozmozhnostjami zdorov’ja po zreniju v uslovijah lingvisticheskogo vuza [Teaching a foreign language to visually impaired persons in the conditions of a linguistic university]. Vestnik Moskovskogo gosudarstvennogo lingvisticheskogo universiteta. Obrazovanie i pedagogicheskie nauki, no. 2 (839), pp. 160–169. URL: https://cyberleninka.ru/article/n/obuchenie-inostrannomu-yazyku-lits-s-ogranichennymi-vozmozhnostyam... (accessed: 24.04.2025). (In Russ.)

11. Rybakova M.V. 2021. Cifrovaja obrazovatel’naja sreda kak faktor razvitija inojazychnyh kompetencij [Digital Educational Environment as a Factor in the Development of Foreign Language Competences]. Perspektivy nauki i obrazovanija, no. 1 (49), pp. 232–248. (In Russ.)

12. Starichenko B.E. 2020. Cifrovizacija obrazovanija: realii i problemy [Digitalisation of Education: Realities and Problems]. Pedagogicheskoe obrazovanie v Rossii, no. 4, pp. 16–26 URL: https://cyberleninka.ru/article/n/tsifrovizatsiya-obrazovaniya-realii-i-problemy (accessed: 24.04.2025). (In Russ.)

13. Sysoev P.V. 2024. Printsipy obucheniya inostrannomu yazyku na osnove tekhnologii iskusstvennogo intellekta [Principles of teaching a foreign language based on artificial intelligence technology]. Inostrannye yazyki v shkole, no. 3, pp. 6–17. (In Russ.)

14. Titova S.V., Kharlamenko I.V. 2025. Podgotovka pedagogicheskikh kadrov k ispol’zovaniyu iskusstvennogo intellekta v obuchenii inostrannym yazykam [Preparation of pedagogical staff for the use of artificial intelligence in teaching foreign languages]. Lomonosov Linguistics and Intercultural Communication Journal, vol. 28, no. 1, pp. 66–84. (In Russ.)

15. Titova S.V. 2024. Tekhnologicheskie resheniya na baze iskusstvennogo intellekta v obuchenii inostrannym yazykam [Technological solutions based on artificial intelligence in teaching foreign languages]. Lomonosov Linguistics and Intercultural Communication Journal, vol. 25, no. 2, pp. 18–37. (In Russ.)

16. Fadeeva V.A., Avramenko A.P. 2024. Informatizatsiya lingvisticheskogo obrazovaniya kak prioritetnoe napravlenie nauchnykh issledovanii (opyt FIYaR MGU imeni M.V. Lomonosova) [Informatisation of Linguistic Education as a Priority Direction of Scientific Research (Experience of Lomonosov Moscow State University)]. Lomonosov Linguistics and Intercultural Communication Journal, vol. 27, no. 4, pp. 100–114. (In Russ.)

17. Bailey S. 2025. Academic Writing: A Handbook for International Students (6th ed.). Routledge.

18. Becker B. 2017. Artificial Intelligence in Education: What is it, Where is it Now, Where is it Going? Ireland.s Yearbook of Education 2017–2018, pp. 42–46.

19. Carras C., Tolas J., Kohler P., Szilagyi E. 2007. Le Francais sur Objectif Specifique et la classe de langue. CLE International.

20. Cohen A.D. 2014. Strategies in learning and using a second language. Harlow, England: Longman Applied Linguistics/Pearson Education. DOI: 10.4324/9781315833200.

21. Edmett A., Ichaporia N., Crompton H., Crichton R. 2024. Artificial intelligence and English language teaching: Preparing for the future (Second edition). British Council.

22. Felix C.V. 2020. The Role of the Teacher and AI in Education. International Perspectives on the Role of Technology in Humanizing Higher Education, pp. 33–48. DOI: 10.1108/S2055-364120200000033003.

23. Graefen G., Moll M. 2011. Wissenschaftssprache Deutsch: lesen — verstehen — schreiben. Ein Lehr- und Arbeitsbuch. Frankfurt/M.: Lang.

24. Hockly N. 2023. Artificial Intelligence in English Language Teaching: The Good, the Bad and the Ugly. RELC Journal, vol. 54, pp. 445–451. DOI: 10.1177/00336882231168504.

25. Hong W.C.H. 2023. The Impact of ChatGPT on Foreign Language Teaching and Learning: Opportunities in Education and Research. Journal of Educational Technology and Innovation, vol. 5, pp. 37–45. URL: https://doi.org/10.61414/jeti.v5i1.103 (accessed: 25.03.2025).

26. Nida-Rumelin J., Weidenfeld N. 2018. Digitaler Humanismus. Eine Ethik Fur Das Zeitalter Der Kunstlichen Intelligenz. Munchen: Piper Verlag.

27. Rudian S., Pinkwart N. 2021. Generating adaptive and personalized language learning online courses in Moodle with individual learning paths using templates. International Conference on Advanced Learning Technologies (ICALT), vol. 21. URL: https://doi.org/10.57884/78EA-3C69. (accessed: 30.04.2025).

28. Weinhardt J.M., Sitzmann T. 2019. Revolutionizing training and education? Three questions regarding massive open online courses (MOOCs). Human Resource Management Review, vol. 29, no. 2, pp. 218–225. URL: https://doi.org/10.1016/j.hrmr.2018.06.004. (accessed: 15.04.2025).

29. Zhao X., Cox A., Chen X. 2025. The use of generative AI by students with disabilities in higher education. The Internet and Higher Education, vol. 66. URL: https://doi.org/10.1016/j.iheduc.2025.101014. (accessed: 30.04.2025).