DEVELOPING CONTEXT-SPECIFIC ARTIFICIAL INTELLIGENCE MODELS FOR UZBEKISTAN'S EDUCATIONAL SYSTEM
PDF

Keywords

artificial intelligence, Uzbekistan, education system, localization, adaptive learning, language models

Abstract

As Artificial Intelligence (AI) becomes increasingly integrated into global education, it is vital for countries like Uzbekistan to adopt context-specific AI models that align with their unique educational structures, languages, and technological capacities. This paper examines the pathways to designing and developing AI systems tailored for Uzbekistan’s educational system. Through a combination of needs analysis, evaluation of existing infrastructure, and comparative studies, the research outlines effective strategies for building AI models that support multilingualism, national curriculum goals, and equitable access. The findings emphasize the importance of local data collection, collaboration with educators, and the creation of culturally adaptive AI solutions.

PDF

References

1. Ministry of Preschool and School Education of the Republic of Uzbekistan. (2023). Digital Education Strategy 2030.

2. Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education. Center for Curriculum Redesign.

3. Zawacki-Richter, O., et al. (2019). Systematic review of research on AI applications in education. IJETHE, 16(1), 1–27.

4. OECD. (2021). Digital Education in Central Asia: Opportunities and Challenges.

5. Avasthi, A., & Dey, S. (2020). Localizing EdTech: Lessons from India. EdTech Hub.

6. Estonian Ministry of Education. (2020). AI in Estonian Classrooms: A Policy Review.

7. Sharipov, M. (2022). The Role of AI in Uzbek Language Technology. Tashkent University Journal of Digital Sciences.

8. Luckin, R., et al. (2016). Intelligence Unleashed: The Argument for AI in Education. Pearson.

9. McKinsey & Company. (2021). The Future of AI in Emerging Markets.