Oʻzbekcha
SUN’IY INTELLEKT ASOSIDA O‘QITISH MODELLARINI SHAXSIYLASHTIRISH: ADAPTIV TA’LIM PLATFORMALARI TAHLILI
Journal
Priority areas for applying artificial intelligence to pedagogical education
Issue
Priority areas for applying artificial intelligence to pedagogical education
Abstract
uchbu maqolada sun’iy intellekt (SI) texnologiyalari yordam ta’lim jarayonini shaxsiylashtirish va adaptiv platformalarni modellashtirish masalalari tahlili. Tadqiqotda Dynamic Knowledge Tracing (DKT) va Reinforcement Learning (RL) algoritmlarining integratsiyasi, o‘quvchilarning bilim darajasini real vaqt rejimida monitoring qilish hamda individual o‘quv trayektoriyalarini boshqarish metodologiyasi yoritilgan. Zamonaviy adaptiv platformalarning samaradorlik ko‘rsatkichlari va xavfsizlik ta’lim sifatini baholashdagi roli statistik ma’lumotlar asosida ko‘rsatib beriladi.
Keywords
Dynamic Knowledge Tracing
adaptiv ta’lim
individual trayektoriya
mashinali o‘qitish
shaxsiylashtirish
Русский
В данной статье анализируются вопросы персонализации образовательного процесса и моделирования адаптивных платформ с использованием технологий искусственного интеллекта (ИИ). В исследовании освещены интеграция алгоритмов Dynamic Knowledge Tracing (DKT) и Reinforcement Learning (RL), а также методология мониторинга уровня знаний учащихся в режиме реального времени и управления индивидуальными образовательными траекториями. Показатели эффективности современных адаптивных платформ и роль безопасности в оценке качества образования демонстрируются на основе статистических данных.
Dynamic Knowledge Tracing
адаптивное обучение
индивидуальная траектория
искусственный интеллект
машинное обучение
персонализация
учебная аналитика
English
This article analyzes the issues of personalizing the educational process and modeling adaptive platforms using artificial intelligence (AI) technologies. The study highlights the integration of Dynamic Knowledge Tracing (DKT) and Reinforcement Learning (RL) algorithms, as well as the methodology for monitoring students’ knowledge levels in real time and managing individual learning trajectories. The effectiveness indicators of modern adaptive platforms and the role of security in assessing the quality of education are demonstrated based on statistical data
Dynamic Knowledge Tracing
adaptive learning
artificial intelligence
individual trajectory
learning analytics
machine learning
personalization
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