KATTA MA'LUMOTLAR VA MASHINAVIY O'RGANISH ASOSIDA TALABALARNING AKADEMIK KO'RSATKICHLARINI BASHORATLASH

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Azizbek Akmal o'g'li Temirkulov, Tursunbek Sadriddinovich Jalolov, Worldly Knowledge Publishing Centre
DOI: 10.5281/zenodo.18477841
Cited by: 0

Abstract

Bugungi kunda ta’lim tizimida raqamlashtirish jarayonining jadal rivojlanishi natijasida katta hajmdagi ma’lumotlar (Big Data) shakllanmoqda. Ushbu maqolada Big Data texnologiyalari va mashinaviy o‘rganish algoritmlaridan foydalangan holda talabalarning akademik ko‘rsatkichlarini bashoratlash masalasi yoritilgan. Talabalarning baholari, davomat ko‘rsatkichlari, o‘quv faolligi va boshqa omillar asosida prognozlash modellari ishlab chiqilgan. Tadqiqot natijalari mashinaviy o‘rganish yondashuvi talabalarning o‘qishdagi muvaffaqiyatini oldindan aniqlashda samarali ekanligini ko‘rsatadi.

Fields of Study & Subjects

Online Learning and Analytics Educational Technology and Pedagogy Artificial Intelligence in Education

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
4 February 2026
Document type
Dataset