Articles | Open Access | https://doi.org/10.37547/ajast/Volume05Issue07-13

Organizational and Technical Conditions for Establishing Students' Independent Learning with The Help of Artificial Intelligence

Xolmurodov Behzod Botir o‘g‘li , Bukhara State University doctoral student, Uzbekistan

Abstract

This article systematically analyzes the need to organize independent learning of students based on artificial intelligence (AI) technologies, organizational and technical conditions, existing platforms, problems and solutions. First of all, the need to introduce AI tools is justified based on the limitations of traditional education, the need to increase student activity and the need for personalized education. Harmonizing curricula with AI technologies, increasing teachers' digital literacy, developing methodological manuals and forming monitoring systems are identified as the main organizational conditions. Also, provision of technically modern ICT, access to AI platforms, electronic libraries and the presence of stable Internet are considered as important infrastructures for effective independent learning. The article briefly analyzes learning platforms based on local and foreign practical experience and shows their functional capabilities. At the same time, problems such as technological inequality, low level of training, financial and legal restrictions and specific solutions to eliminate them are proposed. Finally, methodological, technical, and strategic recommendations are presented to increase the effectiveness of independent learning using AI. This article serves as a scientific, theoretical, and practical basis for the formation of a digital learning environment based on artificial intelligence in the education system of Uzbekistan.

Keywords

Artificial intelligence, independent learning, digital pedagogy

References

O‘zbekiston Respublikasining “Ta'lim to‘g‘risida”gi Qonuni. 2020 yil 23 sentyabr.

Anderson, T., & Dron, J. (2011). Three generations of distance education pedagogy. International Review of Research in Open and Distance Learning, 12(3), 80-97.

Laurillard, D. (2012). Teaching as a Design Science: Building Pedagogical Patterns for Learning and Technology. Routledge.

Woolf, B. P. (2010). Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning. Morgan Kaufmann.

Heffernan, N., & Heffernan, C. (2014). The ASSISTments Ecosystem: Building a platform that brings scientists and teachers together for minimally invasive research on human learning and teaching. International Journal of Artificial Intelligence in Education, 24(4), 470–497.

Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence Unleashed: An Argument for AI in Education. Pearson Education.

Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign.

Baker, R. S., & Inventado, P. S. (2014). Educational data mining and learning analytics. In Learning Analytics (pp. 61–75). Springer.

Selwyn, N. (2016). Education and Technology: Key Issues and Debates. Bloomsbury Publishing.

Voogt, J., & Roblin, N. P. (2012). A comparative analysis of international frameworks for 21st century competences. Education Research International, 2012, 1–15.

Cukurova, M., Luckin, R., & Clark-Wilson, A. (2019). Creating the golden triangle of evidence-informed education technology. British Journal of Educational Technology, 50(2), 490–504.

Papamitsiou, Z., & Economides, A. A. (2014). Learning Analytics and Educational Data Mining in Practice: A Systematic Literature Review. Educational Technology & Society, 17(4), 49–64.

Daniel, B. (2015). Big Data and analytics in higher education: Opportunities and challenges. British Journal of Educational Technology, 46(5), 904–920.

UNESCO. (2019). Artificial Intelligence in Education: Challenges and Opportunities for Sustainable Development.

XOLMURODOV, B. (2025). Sun’iy intellekt texnologiyalari orqali talabalar qobiliyatlarini baholash va ularga mos dasturlarni taklif qilish. «ACTA NUUz», 1(1.3. 1), 205-207.

Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264–75278.

Al-Fraihat, D., Joy, M., & Sinclair, J. (2020). Evaluating E-learning systems success: An empirical study. Computers in Human Behavior, 102, 67–86.

OECD. (2021). The State of School Education: One Year into the COVID Pandemic. OECD Publishing.

Холмуродов, Б., & Шерриев, М. (2025). BO ‘LAJAK INFORMATIKA O ‘QITUVCHILARNI IJOBIY KОMPЕTЕNTLIGINI RIVОJLАNTIRISHDА ZАMОNАVIY АХBОRОT TЕХNОLОGIYALАRINI QO ‘LLАSH. Свет науки, (8 (43)).

OpenAI. (2023). ChatGPT in Education: Use Cases and Considerations.

Khan Academy. (2023). Khanmigo: AI-powered learning companion. https://www.khanacademy.org

Squirrel AI Learning. (2021). Adaptive Education Based on AI. squirrelai.com

Duolingo. (2023). Introducing Duolingo Max. https://blog.duolingo.com/duolingo-max

O‘zbekiston Respublikasi Oliy ta’lim, fan va innovatsiyalar vazirligi (2024). Sun’iy intellekt va ta’lim: strategik yo‘nalishlar.

Xolmurodov, B. (2022). Matematika fanini o ‘qitish samaradorligini oshirishda kahoot platformasidan foydalanish. Buxoro davlat pedagogika instituti jurnali, 2(2).

Mansurov, T. (2024). Ta’limning formal, noformal va informal turlarining bilim olish jarayonidagi oʻziga xos afzalliklari. " Педагогическая акмеология" международный научно-методический журнал, 9(17).

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Xolmurodov Behzod Botir o‘g‘li. (2025). Organizational and Technical Conditions for Establishing Students’ Independent Learning with The Help of Artificial Intelligence. American Journal of Applied Science and Technology, 5(07), 76–81. https://doi.org/10.37547/ajast/Volume05Issue07-13