The Impact of Artificial Intelligence Applications on Linguistic and Literary Connections Among Turkic Peoples Based on Ethnocultural Codes
Keywords:
Turkology education, ethnocultural codes, Turkic peoples, AI-assisted instruction, academic achievement, attitude towards the courseAbstract
This research experimentally examined the effectiveness of artificial intelligence (AI) applications in teaching linguistic and literary connections among Turkic peoples, grounded in ethnocultural codes. Sixty-seven second-year undergraduate students at the Faculty of Literature of a state university in Kazakhstan participated in a quasi-experimental pre-test–post-test control-group design. The experimental group received a five-session instructional program integrating AI tools such as ChatGPT, Midjourney, and Voyant Tools, and the control group processed the same content using traditional methods. Data collection involved a self-developed achievement test (KR-20 = 0.89) and a Likert-type attitude scale (Cronbach α = 0.86). The data were analyzed using ANCOVA, with pre-test scores as covariates. The findings revealed that AI-assisted instruction had a large, statistically significant effect on students' academic achievement (F (1, 64) = 23.510; p < 0.05; η² = 0.27). A significant difference was also found regarding the experimental group’s attitudes towards the course (F (1, 64) = 8.738; p < 0.05; η² = 0.12). This effect was evaluated as moderate-large. The results show that AI tools support the transmission of ethnocultural content in Turkology education at both cognitive and affective levels, and that integrating these technologies with pedagogical designs grounded in cultural sensitivity can significantly contribute to the literature and practice.
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Alas, D. K., & Pehlivan, A. (2025). The future of AI in Turkish language teaching from the teacher’s perspective: What happens if teachers turn into AI? International Online Journal of Primary Education, 14(3), 99–113. https://doi.org/10.55020/iojpe.1707387
Althaus, R., Solaz-Portolés, J. J., Verdugo-Perona, J. J., & Echegoyen-Sanz, Y. (2026). Analysis of the influence of different factors on the attitudes towards science among veterinary students. European Journal of STEM Education, 11(1), 20. https://doi.org/10.20897/ejsteme/18294
Aydin, B., Kışla, T., Elmas, N. T., & Bulut, O. (2025). Automated scoring in the era of artificial intelligence: An empirical study with Turkish essays. System, 133, 1-12. https://doi.org/10.1016/j.system.2025.103784
Azamatova, A., Bekeyeva, N., Zhaxylikova, K., Sarbassova, A., & Ilyassova, N. (2023). The effect of using artificial intelligence and digital learning tools based on project-based learning approach in foreign language teaching on students’ success and motivation. International Journal of Education in Mathematics, Science and Technology, 11(6), 1458–1475. https://doi.org/10.46328/ijemst.3712
Bekpenbetova, S., Kulnazarova, G., Sartayeva, K., Sartayeva, Z., & Seyitova, B. (2024). Philology students’ perceptions of ethno-cultural empathy and intertextual literary heroes as role models. Journal of Ethnic and Cultural Studies, 11(4), 228–252. https://doi.org/10.29333/ejecs/2302
Berdimuratov, M. E. (2024). The historical foundations of Turkic nations’ friendship: Cultural connections and shared heritage. Spanish Journal of Innovation and Integrity, 36, 272–280. https://www.sjii.es/index.php/journal/article/view/53
Chakma. S. (2026). Education or religious conversion. Asia Pacific Journal of Education and Society, 14(1), 1. https://doi.org/10.20897/apjes/17904
Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approach. SAGE Publishing.
Dautuly, T., Kurmangali, F., Buribayeva, M., Mamayeva, G., Kulnazarova, G., & Beisenuly, Z. (2026). The literary function of the tongue twisters in the literature of the Turkic peoples’ common motifs and ethnocultural codes. Journal of Ethnic and Cultural Studies, 13(1), 228–255. https://doi.org/10.29333/ejecs/2871
Demirkol, R., & Sofu, M. S. (2025). Using artificial intelligence assisted digital tool Socrative within the scope of measurement and evaluation in teaching Turkish as a foreign language. International Journal of Turkish Teaching Research, 5, 218–236. https://doi.org/10.5281/ zenodo.17835220
Du, J., & Daniel, B. K. (2024). Transforming language education: A systematic review of AI-powered chatbots for English as a foreign language speaking practice. Computers and Education: Artificial Intelligence, 6, 1-12. https://doi.org/10.1016/j.caeai.2024.100230
Ermagan, E., & Ermagan, I. (2022). Innovative technology and education: Artificial intelligence and language learning in Turkey. Shanlax International Journal of Education, 11, 201–209. /https://files.eric.ed.gov/fulltext/EJ1374428.pdf
Eshmamatova, M. (2025). Morphological generators in computer linguodidactics: Analysis of parallel corpus applications for Turkic languages. 2025 IEEE XVII International Scientific and Technical Conference on Actual Problems of Electronic Instrument Engineering (APEIE), 1–8. https://doi.org/10.1109/APEIE66761.2025.11289406
Fisekcioglu, A. (2022). Language worldview and action-oriented national folklore elements approach for teaching Turkish as a foreign language. Educational Policy Analysis and Strategic Research, 17(1), 312–329. https://files.eric.ed.gov/fulltext/EJ1335922.pdf
Gabdulkhakov, V., & Yashina, O. (2024). Preparing teachers for work in an ethnocultural environment. In R.A. Valeeva & A.M. Kalimullin (Eds.), Continuous teacher education in Russia: History, current practices, and future directions. Emerald Publishing. https://doi.org/10.1108/978-1-83753-852-220241010
Gayarovna Zubairova, I., Rifovna Abdullina, G., Khakimovna Ilisheva, R., Idelovich Karabaev, M., & Revolyevich Nikolaev, E. (2016). Formation and development of literary terms in Turkic languages (study background). Indian Journal of Science and Technology, 9(27), 1-8. https://doi.org/10.17485/ijst/2016/v9i27/97693
Guliyeva, K. (2025). Issues of the application of artificial intelligence to dialect studies. Turkology, 1, 114–122. https://doi.org/10.59849/2313-5204.2025.1.114
Gülçiçek, D. (2021). [Review of the book Gendered Wars, Gendered Memories: Feminist Conversations on War, Genocide and Political Violence, by Ayşegül Altınay and Andrea Pető]. Feminist Encounters: A Journal of Critical Studies in Culture and Politics, 5(1), 14. https://doi.org/10.20897/femenc/9751
Huseynova, M., Talishinsky, E., Yilmaz, B. A., Babayeva-Shukurova, F., Ismayilov, S., & Ishbilir, C. (2025). Shared identity and philosophical heritage: The history of thought in Turkic culture. BZT Turan Publishing House.
Johanson, L. (2021). Turkic (1st ed.). Cambridge University Press. https://doi.org/10.1017/ 9781139016704
Johanson, L. (Ed.) (2023). Aorist. Encyclopedia of Turkic languages and linguistics online. Brill. https://doi.org/10.1163/2667-3029_ETLO_SIM_031902
Johanson, L., & Csató, É. Á. (2021). The Turkic languages (2nd ed.). Routledge. https://doi.org/10.4324/9781003243809
Kaliyeva, N., Mamayeva, G., Zhylkybekuly, B., Buribayeva, M., Beisenuly, Z., & Abdimomynov, Y. (2025). A meta-thematic exploration of the ethnolinguistic nature of Kazakh mythological vocabulary. Journal of Ethnic and Cultural Studies, 12(4), 86–116. http://dx.doi.org/10.29333/ejecs/2553
Khamroyeva, S., Qizi, U. M. U., & Kizi, U. H. A. (2025). Regarding the results of corpus linguistics in Turkic languages. 10th International Conference on Computer Science and Engineering (UBMK), 1707–1711. https://doi.org/10.1109/UBMK67458.2025.11206845
Koka, N. A. (2024). An insight into the efficiency of artificial intelligence (AI)-chatbot as digital tutors for enhancing learners’ motivation and performance in linguistics courses. Pakistan Journal of Life & Social Sciences, 22(2), 19812-19830. https://doi.org/10.57239/PJLSS-2024-22.2.001449
Kurmangali, F. T., Sirin, H., & Aidarova, A. A. (2025). The national-cultural code is a phenomenon that makes up linguistic consciousness (Based on the Kazakh and Turkish languages). Bulletin of the Karaganda University. Philology Series, 11930(3), 16–25. https://doi.org/10.31489/ 2025Ph3/16-25
Law, L. (2024). Application of generative artificial intelligence (GenAI) in language teaching and learning: A scoping literature review. Computers and Education Open, 6, 1-16. https://doi.org/10.1016/j.caeo.2024.100174
Mussatayeva, M., & Kakimova, A. M. (2023). Ethnocultural identity in Turkic cultures. New integrations of modern education in universities (pp. 267–271). International Science Group. https://isg-konf.com/wp-content/uploads/2023/12/NEW-INTEGRATIONS-OF-MODERN-EDUCATION-IN-UNIVERSITIES.pdf
Otermans, P. C. J., Baines, S., Livingstone, C., & Aditya, D. (2026). Talking technology tutors: The perceptions of conversational AI in education through the eyes of parents and teachers Worldwide. (2026). International Journal of Technology in Education and Science, 10(1), 1-16. https://doi.org/10.46328/ijtes.5437
Purba, S. W. D., Silitonga, B. N., & Yang, J. J. (2025). AI-assisted learning: A systematic review. Turkish Online Journal of Distance Education, 26(4), 77–93. https://doi.org/10.17718/ tojde.1591404
Rentzsch, J. (2020). Modality in the Turkic languages: Form and meaning from a historical and comparative perspective (Vol. 18). Walter de Gruyter GmbH & Co KG.
Sadigova, S. I., Mamadova Mahammad, G., Nazirzada, L. N., Geyis Aghayeva, J., Antar, D., Yusifova, N. Y., Shukurova, F. S., Kalita, P., & Sanasam, R. (2025). Unveiling the dynamics of sociolinguistics, Understanding language in social contexts, artificial intelligence effect. Forum for Linguistic Studies, 7(12). 316–327. https://doi.org/10.30564/fls.v7i12.11533
Serdalina, S. (2024). Evolution of Kazakh and Turkish languages in the context of the image of Korkyt Ata. Asiatic: IIUM Journal of English Language and Literature, 18(2), 87–105. https://doi.org/10.31436/asiatic.v18i2.3422
Sjoberg, A. F. (1993). Language structure and cultural identity: A historical perspective on the Turkic peoples of Central Asia. Central Asian Survey, 12(4), 557–564. https://doi.org/10.1080/02634939308400838
Solak, E., & C. Lok, J. (2026). Exploring the role of artificial intelligence tutors in enhancing motivation and learning behavior in language learners. Arab World English Journal, (3), 26–41. https://doi.org/10.24093/awej/AI3.2
Sultan, Y., Dautova, G., & Dalle, J. (2025). Examining the relationship among artificial intelligence literacy, cultural literacy, and intercultural communication proficiency of philology students. Journal of Ethnic and Cultural Studies, 12(5), 345–362. http://dx.doi.org/10.29333/ejecs/2839
Tikhomirov, A. (2020). Ethnogenesis of the Turkic peoples. Languages, peoples, migrations, customs. ЛитРес.
Uzun, C., Eraydın, Y. Y., & Calısır, R. (2026). Recognition of Turkish dialect variety in artificial intelligence based natural language processing systems: Technical, ethical and pedagogical perspectives. Ethical and Pedagogical Perspectives. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5358132
Valeh, G. T. (2016). Turkic world’s cultural policy in the context of culture, art and education. International Journal of Philosophy and Social-Psychological Sciences, 2(1), 7–11. https://sciarena.com/article/turkic-worlds-cultural-policy-in-the-context-of-culture-art-and-education
Wei, L. (2023). Artificial intelligence in language instruction: Impact on English learning achievement, L2 motivation, and self-regulated learning. Frontiers in Psychology, 14, 1-14. https://doi.org/10.3389/fpsyg.2023.1261955
Xoliqova, Z. (2025). Turkic color-based ethnonyms translation issues and solutions through semantic processing technologies. London International Monthly Conference on Multidisciplinary Research and Innovation (LIMCMRI), 2(1), 790–799. https://worldsiencepub.com/ index.php/lmc/article/view/676
Yama, A. & Wasino. (2025). Kazakh ethnogenesis and the formation of Turkic identity in Central Asia: A historical and cultural analysis. Paramita: Historical Studies Journal, 35(2). 258-275 https://doi.org/10.15294/paramita.v35i2.24979
Zheng, D., & Niu, J. (2025). From perception to choice: Exploring Chinese high school students’ attitudes toward AI-Assisted English learning and their academic intentions. Educational Sciences: Theory & Practice, 25(2), 12–27. https://doi.org/10.12738/jestp.2025.1.02
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Copyright (c) 2026 Rauan Kemerbay, Saule Tazhibayeva, Aigerim Kanatkerey, Gulnar Mamayeva, Zhakyp Beisenuly, Mainura Buribayeva
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