The Impact of Artificial Intelligence Applications on Linguistic and Literary Connections Among Turkic Peoples Based on Ethnocultural Codes
Bibliographic Data
| ID | 17820913 |
|---|---|
| Authors | Saule Tazhibayeva (0000-0002-5655-8391, L. N. Gumilyov Eurasian National University), Aigerim Kanatkerey (0009-0004-4994-7032, L. N. Gumilyov Eurasian National University), Gulnar Mamayeva (0000-0003-3405-6718, L. N. Gumilyov Eurasian National University), Zhakyp Beisenuly (0000-0003-4999-2090, M. Kh Dulati Taraz State University), Mainura Buribayeva (Korkyt Ata Kyzylorda State University), Майнура Абильтаевна Бурибаева (0000-0002-2739-0905), Rauan Kemerbay (0000-0002-0404-8621, L. N. Gumilyov Eurasian National University) |
| Year | 2026 |
| Volume | 13 |
| Issue | 3 |
| Pages | 207-228 |
| Publication date | 2026-05-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Ethnic and Cultural Studies (JOURNAL) |
| Journal identifiers | ISSN: 2149-1291 • E-ISSN: 2149-1291 |
| Publisher | Center for Ethnic and Cultural Studies (PUBLISHER) |
| DOI | 10.66815/ejecs/3042 |
| OpenAlex | W7160444046 |
| Language | EN |
| References cited | 33 |
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
Academic achievement · Achievement test · Cognition · Computational linguistics · Cultural diversity · Data collection · Scale (ratio) · Test (biology) · AI in Service Interactions · Artificial Intelligence in Healthcare and Education · Educational Methods and Analysis
The Literary Function of The Tongue Twisters in The Literature of The Turkic Peoples' Common Motifs and Ethnocultural Codes
Artificial intelligence in language instruction
Application of generative artificial intelligence (GenAI) in language teaching and learning
Kazakh Ethnogenesis and The Formation of Turkic Identity in Central Asia
Automated scoring in the era of artificial intelligence
Language structure and cultural identity
Gendered Wars, Gendered Memories
| Highly cited | No |
|---|