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Buxoro Xalqaro
Universiteti

7-tom, 2-son, b. 321–326, Nashr: 2026-08-14

ELEKTRON TA’LIM PLATFORMALARIDA SUN’IY INTELLEKTNI INTEGRATSIYALASH USULLARI

МЕТОДЫ ИНТЕГРАЦИИ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА В ПЛАТФОРМЫ ЭЛЕКТРОННОГО ОБУЧЕНИЯ

METHODS OF INTEGRATING ARTIFICIAL INTELLIGENCE INTO E-LEARNING PLATFORMS

  • Rustamov Akobir Anvar o‘g‘li — Buxoro Xalqaro Universiteti o‘qituvchisi

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Annotatsiya

Mazkur maqolada elektron ta’lim platformalariga sun’iy intellekt texnologiyalarini integratsiyalashning nazariy asoslari, zamonaviy usullari va amaliy imkoniyatlari tahlil qilingan. Tadqiqotda o‘quv jarayonini boshqarish tizimlari (LMS) arxitekturasiga sun’iy intellekt modullarini joriy etishning asosiy yondashuvlari – o‘rnatilgan plaginlar, LTI standarti orqali tashqi xizmatlarni ulash, API va mikroservis arxitekturasi, xAPI asosidagi ta’lim analitikasi hamda katta til modellariga asoslangan virtual assistentlar tasniflangan va qiyosiy baholangan. Har bir usulning texnik talablari, pedagogik imkoniyatlari, afzalliklari va cheklovlari yoritilgan. Shuningdek, elektron ta’lim platformasiga sun’iy intellektni bosqichma-bosqich integratsiyalashning ko‘p qatlamli konseptual modeli taklif etilgan. Tadqiqot natijalari sun’iy intellekt modullari bilan boyitilgan elektron ta’lim platformalari talabalarning o‘quv faolligi, bilimlarni o‘zlashtirish darajasi, teskari aloqa sifati va platformadan foydalanishdan qoniqish darajasini oshirishga xizmat qilishini ko‘rsatadi.

Аннотация

В данной статье анализируются теоретические основы, современные методы и практические возможности интеграции технологий искусственного интеллекта в платформы электронного обучения. В исследовании классифицированы и сравнительно оценены основные подходы к внедрению модулей искусственного интеллекта в архитектуру систем управления обучением (LMS): встроенные плагины, подключение внешних сервисов через стандарт LTI, API и микросервисная архитектура, образовательная аналитика на основе xAPI, а также виртуальные ассистенты на базе больших языковых моделей. Рассмотрены технические требования, педагогические возможности, преимущества и ограничения каждого метода. Кроме того, предложена многоуровневая концептуальная модель поэтапной интеграции искусственного интеллекта в платформу электронного обучения. Результаты исследования показывают, что платформы электронного обучения, дополненные модулями искусственного интеллекта, способствуют повышению учебной активности студентов, уровня усвоения знаний, качества обратной связи и удовлетворённости платформой.

Abstract

This article analyzes the theoretical foundations, modern methods and practical opportunities of integrating artificial intelligence technologies into e-learning platforms. The study classifies and comparatively evaluates the main approaches to embedding AI modules into the architecture of learning management systems (LMS): built-in plugins, connecting external services via the LTI standard, API-based and microservice architecture, xAPI-driven learning analytics, and virtual assistants based on large language models. The technical requirements, pedagogical potential, advantages and limitations of each method are discussed. Furthermore, a multi-layer conceptual model for the step-by-step integration of artificial intelligence into an e-learning platform is proposed. The findings indicate that e-learning platforms enriched with AI modules contribute to increasing students' learning activity, knowledge acquisition, the quality of feedback and overall satisfaction with the platform.

Kalit so'zlar: sun’iy intellekt, elektron ta’lim, LMS, integratsiya, LTI, API, ta’lim analitikasi, xAPI, katta til modellari, virtual assistent, raqamli ta’lim

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