ADAPTIV O’QITISH TIZIMLARI UCHUN MOSLASHUVCHAN ALGORITMNI ISHLAB CHIQISH

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Namangan Davlat Texnika Universiteti magistranti
shaxloxon1101@gmail.com

Abstrak:

Maqolada mashinali o‘qitish texnologiyalari, foydalanuvchi modelini aniqlash, shaxsiy o‘quv trajektoriyalarini shakllantirish va tavsiyaviy tizimlar integratsiyasi asosida moslashuvchan tizimlar arxitekturasi taklif etiladi. Tadqiqot natijalari algoritmlarning samaradorligi, hisoblash tejamkorligi va o‘quvchilarning akademik ko‘rsatkichlariga ta’siri nuqtayi nazaridan baholanadi.

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##submission.howToCite##:

Xaydaraliyeva, S. (2026). ADAPTIV O’QITISH TIZIMLARI UCHUN MOSLASHUVCHAN ALGORITMNI ISHLAB CHIQISH. Yosh Olimlar, 4(4), 35–38. Retrieved from https://in-academy.uz/index.php/yo/article/view/72076

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Adiguzel, T., de Vries, B., & Jing, L. (2024). AI-driven adaptive learning for sustainable educational

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Feedback generation in a digital learning game. arXiv preprint arXiv:2308.12345.

Hmelo-Silver, C. E., & Danish, J. A. (2023). NLP4Science: Designing a platform for integrating natural language processing in middle school science classrooms. In Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC 2023).