MASOFAVIY TA’LIMDA DEEP LEARNING VA GENERATIV AI: INDIVIDUAL O‘QUV TRAYEKTORIYASINI SHAKLLANTIRISH
DOI:
https://doi.org/10.65164/es9n4f73Keywords:
Deep learning, generativ sun’iy intellekt, masofaviy ta’lim, individual o‘quv trayektoriyasi, adaptiv o‘qitish, personalizatsiya, ta’lim analitikasi, predictive analytics, o‘quv kontentini avtomatlashtirish, raqamli ta’lim platformalari, datadriven ta’lim, sun’iy intellekt algoritmlariAbstract
Mazkur maqolada masofaviy ta’lim tizimida deep learning va generativ sun’iy intellekt texnologiyalari asosida individual o‘quv trayektoriyalarini shakllantirishning nazariy asoslari va amaliy mexanizmlari kompleks tahlil qilinadi. Tadqiqotda adaptiv o‘qitish modellari, o‘quvchilar xattiharakatlarini bashoratlash (predictive analytics), hamda real vaqt rejimida o‘quv kontentini moslashtirish jarayonlari chuqur o‘rganilgan. Generativ AI vositalari yordamida dinamik kontent yaratish, individual bilim darajasiga mos topshiriqlarni shakllantirish va o‘quv jarayonini personalizatsiya qilish imkoniyatlari tahlil etilgan.
References
1.
UNESCO. Artificial Intelligence in Education: Challenges and Opportunities for Sustainable Development. Paris: UNESCO Publishing, 2021.
2.
OECD. OECD Digital Education Outlook 2023: Towards Smart and Inclusive Learning Systems. Paris: OECD Publishing, 2023.
3.
World Bank. Education Technology for Effective Learning: Global Review of AI Applications. Washington, DC, 2022.
4.
European Commission. Ethical Guidelines on the Use of Artificial Intelligence and Data in Teaching and Learning. Brussels, 2022.
5.
HolonIQ. Global EdTech Market Outlook 2025–2030. 2024.
6.
Statista. Artificial Intelligence in Education – Global Market Size and Adoption Rate (2020–2025). 2025.
7.
McKinsey & Company. The Economic Potential of Generative AI in Education. 2024.
8.
International Telecommunication Union. Digital Trends in Education and AI Integration Report. Geneva, 2023.
9.
EDUCAUSE. Horizon Report 2024: Emerging Technologies in Higher Education. 2024.
10.
Elsevier. Holmes, W., Bialik, M., Fadel, C. Artificial Intelligence in Education: Promise and Implications for Teaching and Learning. Elsevier, 2019.
11.
Springer. Goodfellow, I., Bengio, Y., Courville, A. Deep Learning. MIT Press / Springer distribution, 2016.
12.
IEEE. Deep Learning Applications in Adaptive Learning Systems. IEEE Access, 2023.
13.
Nature. Generative AI and Personalized Learning: Opportunities and Risks. Nature Machine Intelligence, 2024.
14.
Frontiers. Adaptive Learning and AI: Personalized Education in the Digital Era. Frontiers in Education, 2023.
15.
Google Scholar. Various authors. Recent Advances in Deep Learning and Generative AI for Education. 2022–2025.