English
Українськащо надає послуги з передплати наукових періодичних видань і книг з наукової тематики Національної академії наук України.
Зробити це можна за посиланням:
Nurgazina, A., Sergeyeva, A., Omirzakova, M., Ravshanov, A., Ibragimov, L., Usmanov, M. Barriers and Drivers of Artificial Intelligence Integration in Geographical Education: A Comparative Study of Kazakhstan and Uzbekistan
22.02.2025
05.03.2026
12.03.2026
¹ “Zhetysu University” named after I. Zhansugurov, Taldykorgan, Kazakhstan
² L. N. Gumilyov Eurasian National University, Astana, Kazakhstan
³ K. Zhubanov Aktobe Regional University, Aktobe, Kazakhstan
⁴ Samarkand State University, Samarkand, Uzbekistan
The study aims to identify the key barriers and drivers of artificial intelligence (AI) integration in geographical education through a comparative analysis of Kazakhstan and Uzbekistan, where digital transformation processes develop in parallel but differ in institutional and pedagogical orientation. A mixed-methods approach was applied, combining document analysis of national education digitalization policies with an online survey of 966 educators (471 from Kazakhstan and 495 from Uzbekistan), including schoolteachers, college instructors, and university lecturers. The analysis focused on levels of digital competence, institutional readiness, and practical integration of AI tools in teaching geography. The findings reveal notable cross-country differences. Kazakhstan demonstrates a practice-oriented approach emphasizing digital pedagogy, interactive mapping, and applied use of AI in spatial analysis. Uzbekistan, in contrast, prioritizes the development of academic infrastructure and research platforms for AI. Common barriers include weak Internet connectivity in rural areas, limited teacher training, lack of methodological frameworks, and psychological resistance to innovation. However, strong drivers are evident—state support for digital education, the spread of geospatial analytics, and the emergence of AI-based tools for spatial modeling and personalized learning. The study provides one of the first comparative assessments of AI adoption in geographical education across Central Asia. It conceptualizes AI not as a replacement for teachers but as an intelligent partner that enhances research thinking, spatial imagination, and cognitive autonomy, laying the foundation for sustainable digital transformation of geographical education.
2. Ramirez, E. A. B., & Esparrell, J. A. F. (2024) Artificial Intelligence (AI) in Education: Unlocking the Perfect Synergy for Learning. Educational Process: International Journal, 13(1), 35–51. DOI: https://doi.org/10.22521/edupij.2024.131.3.
3. Bhimdiwala, R., Neri C., & Gomez, L. M. (2022). Advancing the design and implementation of artificial intelligence in education through continuous improvement. International Journal of Artificial Intelligence in Education, 32, 756–782. DOI: https://doi.org/10.1007/s40593-021-00278-8.
4. Docter, M. W., de Vries T. N., Nguyen, H. D., & van Keulen H. (2024). A proof-of-Concept of an Integrated VR and AI application to develop Classroom Management competencies in teachers in Training. Education Sciences, 14(5), 540. DOI: https://doi.org/10.3390/educsci14050540.
5. Ng, D. T. K., Tan, C. W., & Leung, J. K. L. (2024). Empowering student self‐regulated learning and science education through ChatGPT: A pioneering pilot study. British Journal of Educational Technology, 55(4), 1328–1353. DOI: https://doi.org/10.1111/bjet.13454.
6. Viruel, S. R., Rivas E. S., & Palmero J. R. (2025). The Role of Artificial Intelligence in Project-Based Learning: Teacher Perceptions and Pedagogical Implications. Education Sciences, 15(2), 150. DOI: https://doi.org/10.3390/educsci15020150.
7. Uygun, D. (2024). Teachers’ perspectives on artificial intelligence in education. Advances in Mobile Learning Educational Research, 4(1), 931–939. DOI: https://doi.org/10.25082/AMLER.2024.01.005.
8. Uwosomah, E. E., & Dooly, M. (2025). It Is Not the Huge Enemy: Preservice Teachers’ Evolving Perspectives on AI. Education Sciences, 15(2), 152. DOI: https://doi.org/10.3390/educsci15020152.
9. Chang, C. H., & Kidman, G. (2023). The rise of generative artificial intelligence (AI) language models-challenges and opportunities for geographical and environmental education. International Research in Geographical and Environmental Education, 32(2), 85–89. DOI: https://doi.org/10.1080/10382046.2023.2194036.
10. Lee, J. (2023). Beyond geospatial inquiry-How can we integrate the latest technological advances into geography education? Education Sciences, 13(11), 1128. DOI: https://doi.org/10.3390/educsci13111128.
11. Ahmed, Z. Y. (2024). Artificial Intelligence Geographic Information Systems-AI GIS. International Journal of Advanced Engineering and Business Sciences, 5(1). 5–19. DOI: https://doi.org/10.21608/ijaebs.2024.235886.1087.
12. Li, J., Xia, H., Qin, Y., Fu, P., Guo, X., Li, R., & Zhao, X. (2022). Web GIS for Sustainable Education: Towards Natural Disaster Education for High School Students. Sustainability, 14(5), 2694. DOI: https://doi.org/10.3390/su14052694.
13. Popenici, S. A., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12(1), 22. DOI: https://doi.org/10.1186/s41039-017-0062-8.
14. Yufeia, L., Salehb, S., Jiahuic, H., & Syed, S. M. (2020). Review of the application of artificial intelligence in education. Integration (Amsterdam), 12(8), 1–15. DOI: https://doi.org/10.53333/IJICC2013/12850.
15. Redican, K., Gonzalez, M., & Zizzamia, B. (2024). Assessing ChatGPT for GIS education and assignment creation. Journal of Geography in Higher Education, 2, 1–17. DOI: https://doi.org/10.1080/03098265.2024.2397332.
16. Lee, J., Cimova, T., Foster, E. J., France, D., Krajňáková, L., Moorman, L., Rewhorn, S., & Zhang, J. (2025). Transforming geography education: the role of generative AI in curriculum, pedagogy, assessment, and fieldwork. International Research in Geographical and Environmental Education, 1, 1–17. DOI: https://doi.org/10.1080/10382046.2025.2459780.
17. Wilby, R. L., & Esson, J. (2024). AI literacy in geographic education and research: Capabilities, caveats, and criticality. The Geographical Journal, 190(1), e12548. DOI: https://doi.org/10.1111/geoj.12548.
18. Janowicz, K., Sieber, R., & Crampton, J. (2022). GeoAI, counter-AI, and human geography: A conversation. Dialogues in Human Geography, 12, 446–458. DOI: https://doi.org/10.1177/20438206221132510.
19. Smith, T. R. (1984). Artificial intelligence and its applicability to geographical problem solving. The Professional Geographer, 36(2), 147–158. DOI: https://doi.org/10.1111/J.0033-0124.1984.00147.X.
20. Almelweth, H. (2022).The effectiveness of a proposed strategy for teaching geography through artificial intelligence applications in developing secondary school students’ higher-order thinking skills and achievement. Pegem Journal of Education and Instruction, 12(3), 169–176. DOI: https://doi.org/10.47750/pegegog.12.03.18.
21. Shumakova, G., Sergeyeva, A., Abdullina, A., & Aliaskarov, D. (2024). Problems of Studying the Urbanization Process for Students of the Educational Program ‘Geography’ in Kazakhstan. Indonesian Journal of Geography, 56(2), 197–207. DOI: https://doi.org/10.22146/ijg.87685.
22. Sergeyeva, A. M., Yessembek, S. A., Abdullina, A. G., Baubekova, G. K. (2023).The Analysis of the Content of the Geography School Curriculum for the Section Country Studies in the Republic of Kazakhstan. Ukrainian Geographical Journal, 2023(2), 60–70. DOI: https://doi.org/10.15407/ugz2023.02.060.