GENERATIV SUN’IY INTELLEKT ASOSIDAGI ONTOLOGIK MULOQOT TIZIMI ORQALI SHAXSGA YO‘NALTIRILGAN TA’LIM JARAYONINI TASHKIL ETISH ARXITEKTURASI
DOI:
https://doi.org/10.65164/wva22289Keywords:
generativ AI, ta'lim transformatsiyasi, HOG-M, IEEE LOM, Bloom taksonomiyasi, akademik gallyutsinatsiya, personalizatsiya, ishonchli AI, ontologiya, xavfsiz AI arxitekturasi.Abstract
Ushbu tezisda ta’lim tizimlarini transformatsiya qilishda generativ sun’iy intellekt (GenAI) texnologiyalarini qo‘llashdagi asosiy ishonchlilik muammolari — akademik gallyutsinatsiya, pedagogik kontekstsizlik va foydalanuvchi manipulyatsiyasiga zaiflik — tizimli tahlil qilinadi. Muallif tomonidan ishlab chiqilayotgan HOG-M (Hybrid Ontological-Generative Model) tizimining IEEE LOM ontologiyasi, Bloom taksonomiyasi va pedagogik cheklovlar qatlami bilan qurilgan xavfsiz ta’lim AI arxitekturasi taqdim etiladi. Toshkent oliy ta'lim muassasalaridagi 180 nafar talaba ishtirokida o‘tkazilgan eksperiment shuni ko‘rsatdiki, HOG-M ta'lim yordamchisi kurs tugatish darajasini 62% dan 84% ga (35.5%), o‘rtacha GPA ni 3.2 dan 4.1 ga (28.1%) oshirdi va akademik gallyutsinatsiya darajasini 19.7% dan 4.2% ga tushirdi.
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