TA’LIMDA RAQAMLI TRANSFORMATSIYA VA INNOVATSION TEXNOLOGIYALAR: INTELLEKTUAL TAHLIL VA ADAPTIV O‘QITISH TIZIMI
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https://doi.org/10.5281/zenodo.20227778;
raqamli ta’lim platformasi, CNN, LSTM, PCA, mustahkamlash o‘rganishi, adaptiv o‘qitish, akademik anomaliya, talabalar o‘zlashtirishi.Abstrak
Ushbu maqolada zamonaviy raqamli ta'lim platformalarida talabalar o'quv faoliyatini real vaqt rejimida kuzatish va intellektual tahlil qilish tizimi taqdim etiladi. Tizim platformadagi faollik vaqti, topshiriqlar bajarilishi va test natijalari kabi o'quv faoliyati ma'lumotlarini qayta ishlash uchun konvolyutsion neyron tarmoqlar (CNN), uzoq muddatli qisqa xotira tarmoqlari (LSTM) va asosiy komponentlar tahlili (PCA) usullarini qo'llaydi. Bundan tashqari, individual o'qitish metodikasi va adaptiv o'quv rejalarini optimallashtirish maqsadida mustahkamlash o'rganishi (Reinforcement Learning) algoritmidan foydalaniladi. Turli o'quv yuklamasi darajalarida o'tkazilgan eksperimental natijalar tizimning akademik natijalarni bashorat qilish aniqligini 94,7% ga yetkazishini ko'rsatdi. Taklif etilayotgan yondashuv ta'lim jarayoni samaradorligini va talabalar o'zlashtirishini sezilarli darajada oshirish imkonini beradi.Iqtiboslar
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