SUN’IY INTELLEKT VA GAMIFIKATSIYANI BIRLASHTIRGAN ADAPTIV O‘QITISH MUHITINI LOYIHALASH: ARXITEKTURA VA ALGORITM
Annotatsiya
Ushbu maqolada sun’iy intellekt va gamifikatsiya texnologiyalarini organik tarzda birlashtirishga asoslangan adaptiv o‘qitish muhitining loyihalash tamoyillari, ko‘p qavatli arxitekturasi hamda asosiy algoritmlari keng tahlil etilgan. Tadqiqotning bosh maqsadi — Bayes tarmoqlari va chuqur kuchaytirishli o‘qitish (Deep Reinforcement Learning) algoritmlarini qo‘llagan holda har bir o‘quvchining individual bilim holati, o‘rganish uslubi va motivatsion profiliga mos ta'lim yo‘nalishini real vaqt rejimida dinamik shakllantirishga qodir intellektual tizim modelini ishlab chiqishdan iborat. Tadqiqotda mashinali o‘qitish, Bayes tarmoqlari hamda o‘yinchi tipologiyasiga asoslangan dinamik gamifikatsiya elementlari (yutuqlar, reytinglar, darajalar, narrativ yo‘llar) integratsiyasi maxsus ko‘rib chiqilgan. 2023–2024 o‘quv yilida Andijon davlat pedagogika institutida 180 talaba ishtirokida o‘tkazilgan eksperimental tekshiruv natijalari tizimning o‘quv motivatsiyasini 37,7 foizga oshirishi, bilim o‘zlashtirishni 27,9 foizga yaxshilashi va kursni tugatish darajasini 46,3 foizga ko‘tarishini isbotladi. Barcha natijalar statistik jihatdan yuqori ahamiyatlilik darajasida tasdiqlangan (p < 0,001). Xulosa sifatida taklif etilgan uch qavatli gibrid arxitektura ta'lim texnologiyalari sohasida shaxsiylashtirilgan va samarali ta'limni amalga oshirish uchun istiqbolli ilmiy-amaliy yo‘nalish ekanligi asoslanadi.
Kalit so'zlar
Foydalanilgan adabiyotlar
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Iqtibos keltirish uchun
Jo‘rayev Farxodbek Murodjon o‘g‘li. (2026). SUN’IY INTELLEKT VA GAMIFIKATSIYANI BIRLASHTIRGAN ADAPTIV O‘QITISH MUHITINI LOYIHALASH: ARXITEKTURA VA ALGORITM. ADPI Ilmiy xabarnomasi. URL: https://eduservis.uz/article/144002001