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Article . 2026
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Talabalarda algoritmik kompetentlikni rivojlantirishning sun'iy intellekt va Big Data Analytics asosida o'quv faoliyatini real vaqt rejimida kuzatuvchi va boshqaruvchi konseptual modelni takomillashtirish

Authors: Nazokat Kayumova;

Talabalarda algoritmik kompetentlikni rivojlantirishning sun'iy intellekt va Big Data Analytics asosida o'quv faoliyatini real vaqt rejimida kuzatuvchi va boshqaruvchi konseptual modelni takomillashtirish

Abstract

Mazkur maqolada talabalarda algoritmik kompetentlikni rivojlantirishga yo‘naltirilgan, sun’iy intellekt vaBig Data Analytics texnologiyalariga asoslangan hamda o‘quv faoliyatini real vaqt rejimida kuzatish va boshqarishnita’minlovchi konseptual modelni takomillashtirish masalalari yoritilgan. Tadqiqot doirasida ta’lim jarayonida raqamli izlar(learning analytics), adaptiv monitoring, avtomatlashtirilgan tahlil va prognozlash mexanizmlarining didaktik imkoniyatlaritahlil qilinadi. Taklif etilayotgan model talabalarning algoritmik fikrlashi, muammoli vaziyatlarni tahlil qilish, yechim ishlabchiqish va reflektiv faoliyatini rivojlantirishga xizmat qiladi. Tadqiqot natijalari sun’iy intellekt va katta hajmdagi ma’lumotlartahliliga asoslangan monitoring tizimi o‘quv jarayonining samaradorligini oshirish, individual ta’lim trayektoriyalarini shakllantirishva ta’lim sifatini boshqarishda muhim pedagogik ahamiyatga ega ekanini tasdiqlaydi

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green