Preview

Informatics and education

Advanced search

Neural network methods for analysis and modeling of intercultural communication in digital educational environment

https://doi.org/10.32517/0234-0453-2025-40-5-80-87

Abstract

The study presented in the article explores developing intercultural communication skills in pedagogical education using digital technologies. The goal of the study is to identify pedagogical conditions and methods promoting intercultural competence of future teachers through digital technologies.

Methodological basis of the study is competence-based, personality-activity and culturological approaches. The empirical basis of the study included experimental (n = 128) and control (n = 122) groups of pedagogical students. The experiment employed diagnostic methods for assessing intercultural competence and specially developed educational tasks using digital resources.

Results showed statistically significant differences (p < 0.01) between experimental and control groups in intercultural awareness (d = 0.76), communicative flexibility (d = 0.82) and ethno-relativistic orientation (d = 0.68) upon completion of training. The data indicate effectiveness of the proposed methodology in digital educational environments.

The findings have theoretical significance for higher education pedagogy and practical value for teacher training. Further research directions relate to developing intercultural training models at different levels of pedagogical education.

About the Authors

I. V. Reshetarova
Donetsk State Pedagogical University named after V. Shatalov
Russian Federation

Irina V. Reshetarova, Candidate of Sciences (Philology), Docent, Head of the Department of Foreign Philology, Theory and Practice of Translation, Faculty of Humanities

Gorlovka, Donetsk People’s Republic



V. A. Vostretsova
Donetsk State Pedagogical University named after V. Shatalov
Russian Federation

Victoria A. Vostretsova, Candidate of Sciences (Philology), Associate Professor at the Department of Foreign Philology, Theory and Practice of Translation, Faculty of Humanities

Gorlovka, Donetsk People’s Republic



E. V. Minina
Donetsk State Pedagogical University named after V. Shatalov
Russian Federation

Elena V. Minina, Candidate of Sciences (Philology), Docent, Associate Professor at the Department of Foreign Philology, Theory and Practice of Translation, Faculty of Humanities

Gorlovka, Donetsk People’s Republic



References

1. Obraztsov P. I., Marchenko E. Yu. Formation of future teachers’ intercultural tolerance through digital learning resource at professional education institutions. Perspectives of Science and Education. 2022;(3(57)):174–190. (In Russian.) EDN: GVATPY. DOI: 10.32744/pse.2022.3.10.

2. Soboleva A. V., Obdalova O. A. A model of intercultural speech interaction in digital environment in teaching foreign language communication. Tomsk State University Journal. 2023;(497):193–202. (In Russian.) EDN: TDZGHM. DOI: 10.17223/15617793/497/20.

3. Novoselov M. N., Bezukladnikov K. E. Methodological and technological foundations of the system of intercultural interaction in the environment of Russian university. Language and Culture. 2024;(67):249–271. (In Russian.) EDN: SLOSZZ. DOI: 10.17223/19996195/67/14.

4. Bakhtiozina M. G., Khachatryan G. S. Language education as a factor of the development of intercultural communication in the context of modern business policultural environment. Moscow University Bulletin. Series 19: Linguistics and Intercultural Communication. 2020;(1):164–173. (In Russian.) EDN: EDKGDV.

5. Troinikova E. V. The subject of intercultural interaction as an educational construct: Vectors of dialogue transformation. Language and Culture. 2022;(59):298–319. (In Russian.) EDN: TYBAWG. DOI: 10.17223/19996195/59/17.

6. Cham M. F., Obdalova O. A. Communicative traning as a means of developing foreign students’ intercultural communicative competence in the multicultural educational environment of the university. Language and Culture. 2023;(61):324–347. (In Russian.) EDN: JPVXDH. DOI: 10.17223/19996195/61/18.

7. Tkachenko N. V., Khukhlaev O. E. Integrative model of intercultural interaction: Experience of qualitative analysis. RUDN Journal of Psychology and Pedagogics. 2021;18(3):459–474. (In Russian.) EDN: NQDZME. DOI: 10.22363/2313-1683-2021-18-3-459-474.

8. Karabushchenko N. B., Kruze B. A., Zhigalev B. A. Linguo-informational training of pre-service foreign language teacher. Language and Culture. 2021;(54):167–189. (In Russian.) EDN: BAIZSK. DOI: 10.17223/19996195/54/10.

9. Glumova E. P., Korableva E. D. Linguodidactic substantiation of the process of formation of the polylingual competence of a foreign language teacher. Language and Culture. 2023;(61):173–192. (In Russian.) EDN: AEHBIM. DOI: 10.17223/19996195/61/10.

10. Shermukhammadov B. Sh. Issues of development of intercultural communication of students in the process of globalization of higher education. Age of Globalization. 2024;(1(49)):103–112. (In Russian.) EDN: RHYNLW. DOI: 10.30884/vglob/2024.01.08.

11. Isaeva T. E. Higher school teacher’s competences and “electronic” pedagogical culture in the post-pandemic world. Higher Education in Russia. 2021;30(6):80–96. (In Russian.) EDN: YTOOXF. DOI: 10.31992/0869-3617-2021-30-6-80-96.

12. Xu H., Gan W., Qi Z., Wu J., Yu P. S. Large language models for education: A Survey. arXiv preprint. 2024. arXiv:2405.13001. DOI: 10.48550/arXiv.2405.13001.

13. Awais M., Naseer M., Khan S., Anwer R. M., Cholakkal H., Shah M., Yang M.-H., Khan F. Sh. Foundation models defining a new era in vision: A survey and outlook. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2025;47(4):2245–2264. DOI: 10.1109/TPAMI.2024.3506283.

14. Islam S., Elmekki H., Elsebai A., Bentahar J., Drawel N., Rjoub G., Pedrycz W. A comprehensive survey on applications of transformers for deep learning tasks. arXiv preprint. 2023. arXiv:2306.07303. DOI: 10.48550/arXiv.2306.07303.

15. Wu H., Li S., Gao Y., Weng J., Ding G. Natural language processing in educational research: The evolution of research topics. Education and Information Technologies. 2024;29:23271–23297. DOI: 10.1007/s10639-024-12764-2.

16. Zhang H., Shafiq M. O. Survey of transformers and towards ensemble learning using transformers for natural language processing. Journal of Big Data. 2024;11:25. DOI: 10.1186/s40537-023-00842-0.

17. Gupta T., Zaki M., Krishnan N. M., Mausam. MatSciBERT: A materials domain language model for text mining and information extraction. npj Computational Materials. 2022;8:102. DOI: 10.1038/s41524-022-00784-w.

18. Schneider J., Vlachos M. What comes after transformers? — A selective survey connecting ideas in deep learning. arXiv preprint. 2024. arXiv:2408.00386. DOI: 10.48550/arXiv.2408.00386.

19. Aydin M. K., Yildirim T., Kus M. Teachers’ digital competences: A scale construction and validation study. Frontiers in Psychology. 2024;15:1356573. DOI: 10.3389/fpsyg.2024.1356573.

20. Tzafilkou K., Perifanou M., Economides A. A. Assessing teachers’ digital competence in primary and secondary education: Applying a new instrument to integrate pedagogical and professional elements for digital education. Education and Information Technologies. 2023;28:16017–16040. DOI: 10.1007/s10639-023-11848-9.

21. Chan S. F., DeWitt D., Loban R. A comparative exploration of virtual reality’s role in Mandarin intercultural communicative competence development. Information and Learning Sciences. 2025;126(5-6):335–361. DOI: 10.1108/ILS-05-2024-0048.

22. Norhagen S. L., Krumsvik R. J., Røkenes F. M. Developing professional digital competence in Norwegian teacher education: A scoping review. Frontiers in Education. 2024;9:1363529. DOI: 10.3389/feduc.2024.1363529.

23. Mejías-Acosta A., D’Armas Regnault M., Vargas-Cano E., Cárdenas-Cobo J., Vidal-Silva C. Assessment of digital competencies in higher education students: Development and validation of a measurement scale. Frontiers in Education. 2024;9:1497376. DOI: 10.3389/feduc.2024.1497376.

24. Spante M., Sofkova Hashemi S., Lundin M., Algers A. Digital competence and digital literacy in higher education research: Systematic review of concept use. Cogent Education. 2018;5(1):1519143. DOI: 10.1080/2331186X.2018.1519143.

25. Rahiman H. U., Kodikal R. Revolutionizing education: Artificial intelligence empowered learning in higher education. Cogent Education. 2024;11(1):2293431. DOI: 10.1080/2331186X.2023.2293431.

26. Nonko N. A., Grunin I. O. Methods for developing the ability to social interaction of students in a digital educational environment. Education Management Review. 2023;(5(63)):57–65. (In Russian.) EDN: MEZQJU. DOI: 10.25726/s0213-2197-5045-v.


Review

For citations:


Reshetarova I.V., Vostretsova V.A., Minina E.V. Neural network methods for analysis and modeling of intercultural communication in digital educational environment. Informatics and education. 2025;40(5):80-87. (In Russ.) https://doi.org/10.32517/0234-0453-2025-40-5-80-87

Views: 16


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 0234-0453 (Print)
ISSN 2658-7769 (Online)