USTOZ AI — A MODERN SOURCE OF KNOWLEDGE AND VOCATIONAL SKILLS FOR YOUTH
Abstract
This study analyzes the impact and effectiveness of the “Ustoz AI” mobile application in enhancing youth education and vocational training in Uzbekistan. The application provides free access to over 35 vocational courses and 12 general education subjects, integrating artificial intelligence-based interactive teaching methods and gamified learning elements. Through personalized learning pathways, portfolio creation, and certification opportunities, the platform increases student motivation, knowledge retention, and practical skills acquisition. Additionally, it allows learners to access expensive courses without financial barriers, fostering inclusivity in education. The findings suggest that “Ustoz AI” significantly contributes to digital education development, encourages creative and independent learning, and prepares youth for modern professions. The study highlights the application’s role as a comprehensive educational tool that combines technology, interactivity, and innovation to enhance learning outcomes and youth engagement in Uzbekistan.
Keywords
Artificial intelligence, digital education, educational technologies, interactive learning, vocational education, mobile application, youth potential, gamified education.How to Cite
References
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence Unleashed: An Argument for AI in Education. Pearson.
Zhou, M. (2020). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Springer.
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Boston: Center for Curriculum Redesign.
Yoshlar ishlari agentligi. (2022). O‘zbekistonda yoshlar va IT sohasidagi loyihalar bo‘yicha hisobot. Toshkent: Yoshlar ishlari agentligi.
Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264–75278.
Baker, R., & Siemens, G. (2014). Educational Data Mining and Learning Analytics. In: Learning Analytics. Springer, New York, NY.
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence Unleashed: An Argument for AI in Education. Pearson.
Zhou, M. (2020). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Springer.
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Boston: Center for Curriculum Redesign.
Yoshlar ishlari agentligi. (2022). O‘zbekistonda yoshlar va IT sohasidagi loyihalar bo‘yicha hisobot. Tashkent: Yoshlar ishlari agentligi.
License
Copyright (c) 2026 Islom Jahonov
This work is licensed under a Creative Commons Attribution 4.0 International License.
