AI-DRIVEN ADAPTIVE LEARNING FOR FORMING INDIVIDUAL LEARNING TRAJECTORIES OF ARCHITECTURE STUDENTS IN ESP COURSES
DOI:
https://doi.org/10.65164/1rngab34Kalit so‘zlar:
adaptiv ta’lim, sun’iy intellekt, ESP, arxitektura ta’limi, individual o‘quv trayektoriyasi, shaxsiylashtirilgan ta’lim, til o‘rganish.Abstrak
Maqolada arxitektura yo‘nalishi talabalarining kasbiy ingliz tili (ESP) kurslarida
sun’iy intellekt asosidagi adaptiv ta’lim tizimlaridan foydalanib individual o‘quv trayektoriyasini
shakllantirish masalasi ko‘rib chiqiladi. Tadqiqot nazariy-tahliliy yondashuvga asoslanib, 2020–2025
yillardagi Scopus, Web of Science va Google Scholar ma’lumotlar bazalaridagi 28 ta ilmiy manba tizimli
tahlil qilingan. Adaptiv algoritmlarning talabalar ehtiyojlariga moslashish mexanizmlari o‘rganilgan va
uch qatlamli kontseptual model — diagnostik qatlam, adaptiv mexanizm va ta’lim kontentini yetkazish
qatlami — taklif etiladi. Natijalar shuni ko’rsatadiki, bunday tizimlar mustaqil o’rganish layoqatini,
kasbiy lug‘at boyligini va muloqot kompetensiyasini sezilarli darajada oshirishga xizmat qilishi mumkin.
Shu bilan birga, kontent bazasini yaratish, ma’lumotlar yetishmasligi va axloqiy masalalar kabi
cheklovlar ham muhokama qilinadi.
Havolalar
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