
Mazkur ilmiy maqolada tibbiyot yo‘nalishida tahsil olayotgan talabalar uchun ingliz tilini o‘qitishga mo‘ljallangan, sun’iy intellekt texnologiyalariga asoslangan zamonaviy raqamli ta’lim platformasini ishlab chiqish va uni o‘quv jarayoniga joriy etish masalalari har tomonlama yoritiladi. Tadqiqotning asosiy e’tibori ingliz tilining tibbiyot sohasidagi kasbiy ahamiyatini hisobga olgan holda, talabalar uchun moslashtirilgan va interaktiv o‘quv muhitini yaratishga qaratilgan. Maqolada OpenAI texnologiyalarining ta’lim jarayonidagi o‘rni chuqur tahlil qilinib, xususan, ushbu sun’iy intellekt modellarining tibbiy ingliz tilini o‘rgatishdagi ustun jihatlari ilmiy asosda yoritib beriladi. Jumladan, murakkab tibbiy terminologiyani soddalashtirib tushuntirish, klinik holatlarga asoslangan dialog va mashqlarni avtomatik yaratish, shuningdek, talabaning bilim darajasi va ehtiyojlariga mos individual o‘quv yo‘llarini shakllantirish imkoniyatlari batafsil ko‘rib chiqiladi. Taklif etilayotgan platforma talabalarning nafaqat til bilish darajasini oshirish, balki ularning mustaqil o‘rganish ko‘nikmalarini rivojlantirish, tanqidiy fikrlash va kasbiy muloqot kompetensiyalarini shakllantirishga xizmat qiladi. Bundan tashqari, sun’iy intellektga asoslangan baholash va fikr-mulohaza mexanizmlari orqali o‘quv jarayonining samaradorligini oshirish, o‘qituvchilar yuklamasini kamaytirish hamda ta’lim sifatini yangi bosqichga olib chiqish imkoniyatlari asoslab beriladi.
| 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 |
