
Ushbu maqolada sun’iy intellekt (SI) texnologiyalari yordamida o‘quv resurslarini avtomatik tavsiya etuvchi tizimni loyihalash va ishlab chiqish masalalari ilmiy jihatdan tahlil qilinadi. Tadqiqotda SI asosidagi tavsiya tizimlarining arxitekturasi, ishlash prinsiplari, mashinaviy o‘rganish algoritmlari va ma’lumotlarni tahlil qilish usullari batafsil yoritilgan. Mazkur tizim foydalanuvchining bilim darajasi, qiziqish sohasi va o‘quv faoliyati natijalarini hisobga olgan holda eng mos o‘quv materiallarini taklif qiladi. Tadqiqot natijalari shuni ko‘rsatdiki, avtomatik tavsiya tizimlari o‘quv jarayonini individuallashtirish, o‘quvchilarning motivatsiyasini oshirish va o‘zlashtirish darajasini yaxshilashda samarali vosita hisoblanadi. Maqolada tizimni ishlab chiqishda foydalaniladigan texnologiyalar, amaliy yechimlar va kelgusidagi rivojlanish istiqbollari ham ko‘rib chiqilgan.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
