TRANSFORMING INDEPENDENT LEARNING IN COUNTRY STUDIES THROUGH ARTIFICIAL INTELLIGENCE AND DIGITAL AXIOLOGY
DOI:
https://doi.org/10.37547/Keywords:
digital pedagogy, independent learning, Area Studies, Artificial Intelligence (AI), intercultural competence, sociolinguistic adaptation, digital axiologyAbstract
This study is devoted to the scientific substantiation of an innovative model for organising independent learning in Area Studies within the framework of digital pedagogy. The research examines the role of integrating digital technologies and Artificial Intelligence (AI) tools into the educational process in enhancing students’ professional and pedagogical competencies. The findings obtained through empirical methods and virtual simulations confirm that the proposed Digital Axiological Model significantly improves learners’ intercultural competence, sociolinguistic adaptability, and linguistic accuracy. The results further demonstrate that the effective integration of digital tools with traditional teaching methods can elevate Area Studies from a predominantly theoretical discipline to the level of an applied analytical laboratory.
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1.Abdurakhimova, N. (2026). Türkiye ve Özbekistan'da yabancı dil olarak Türkçe öğretiminde dijital araçların kullanımı: Karşılaştırmalı bir inceleme. In VI. Ulusal Eğitimde Dönüşüm Forumu (UEDFOR-VI) Tam Metin Bildiri Kitabı (pp. 12–18). Ankara, Türkiye: EYUDER Yayınları.
2.Abdurakhimova, N. A. (2026). Developing intercultural competence through artificial intelligence tools in the context of teaching the Turkish language. The Lingua Spectrum, 3, 348–352.
3.Archer-Kath, A. M., et al. (2021). The impact of cooperative learning on student achievement and intergroup relations. Review of Educational Research.
4.Byram, M. (1997). Teaching and assessing intercultural communicative competence. Clevedon, UK: Multilingual Matters.
5.Chai, C. S., & Kong, S. C. (2021). Professional development for digital transformation in education. Journal of Educational Technology & Society, 24(2), 55–68.
6.Gururajarao, S. M., et al. (2025). Assessing academic achievement in adaptive learning. In Computer Science On-line Conference (pp. 445–453). Cham, Switzerland: Springer Nature.
7.Hymes, D. (1972). On communicative competence. In J. B. Pride & J. Holmes (Eds.), Sociolinguistics. Harmondsworth, UK: Penguin.
8.Istrate, O. (2022). Digital pedagogy and the evolution of Area Studies in the 21st century. European Journal of Higher Education, 12(3), 210–225.
9.Kamariddinovna, M. E. (2025). The role of nano-learning in developing digital competence among future English language teachers. American Journal of Education and Learning, 3(5), 335–341.
10.Moore, M. G. (2023). Theory of transactional distance and digital learner autonomy. London, UK: Routledge.
11.OECD. (2025). Education at a glance: Digital transformation and future skills. Paris, France: OECD Publishing.
12.UNESCO. (2025). Artificial intelligence and education: Guidance for policy-makers. Paris, France: UNESCO..
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