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Arxiv / №4 · 2026 / Maqola
13.00.00 – PEDAGOGIKA FANLARI

O‘QUV JARAYONIDA TALABALAR DIQQATINI TAHLIL QILISH UCHUN NEYRON TARMOQQA ASOSLANGAN MODELNI ISHLAB CHIQISH

Annotatsiya
O'ZBEKCHA

Ushbu maqola o‘quv jarayonida talabalar diqqatini tahlil qilish uchun neyron tarmoq-qa asoslangan modelni ishlab chiqishga bag‘ishlangan. Tadqiqot obyekti sifatida auditoriyaga o‘rnatilgan kuzatuv kameralari orqali olingan tasvirlar asosida talabalar diqqat jarayoni o‘rganiladi. Model diqqatli (Focused) va diqqatdan chetlashgan (Distracted) o‘quvchilarni tasniflashga qaratilgan.

Kalit so'zlar: ta’lim monitoringi, sun’iy intellekt, kompyuter ko‘rish, neyron modellar, tasvir tahlili.
РУССКИЙ

Данная статья посвящена разработке модели на основе нейронной сети для анализа внимания студентов в учебном процессе. Объектом исследования является процесс внима-ния студентов, изучаемый на основе изображений, полученных с камер наблюдения, установленных в аудитории. Модель направлена на классификацию студентов по двум категориям: внимательные (Focused) и невнимательные (Distracted).

Ключевые слова: мониторинг образования, искусственный интеллект, компьютерное зре-ние, нейронные модели, анализ изображений.
ENGLISH

This article is devoted to the development of a neural network-based model for ana-lyzing student attention in the educational process. The object of the study is the students’ attention process, which is examined through images obtained from surveillance cameras installed in the classroom. The model is aimed at classifying students into two categories: attentive (Focused) and inattentive (Distracted).

Keywords: monitoring, artificial intelligence, computer vision, neural models, image analysis.
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Foydalanilgan adabiyotlar

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