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Buxoro Xalqaro
Universiteti

10-tom, 2-son, b. 344–347, Nashr: 2026-10-27

DASTURLASHTIRILGAN O‘QITISH VA SUN’IY INTELLEKT INTEGRATSIYASINING NAZARIY ASOSLARI

ТЕОРЕТИЧЕСКИЕ ОСНОВЫ ПРОГРАММИРОВАННОГО ОБУЧЕНИЯ И ИНТЕГРАЦИИ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА

THEORETICAL FOUNDATIONS OF THE INTEGRATION OF PROGRAMMED LEARNING AND ARTIFICIAL INTELLIGENCE

  • Rusmatov Hakim Sharipovich — Osiyo xalqaro universiteti, aniq fanlar va raqamli texnologiyalar kafedrasi professori, pedagogika fanlari falsafa doktori (PhD)

DOI: 10.67780/buxoro-xalqaro-universiteti-ilmiy-axborotnomasi.2026.3bfb895e

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Annotatsiya

Maqolada dasturlashtirilgan o‘qitish va sun’iy intellekt integratsiyasining nazariy, didaktik hamda texnologik asoslari tahlil qilinadi. Dasturlashtirilgan o‘qitishning algoritmik tuzilishi, bosqichma-bosqich o‘rganish va qayta aloqa mexanizmlari zamonaviy sun’iy intellekt yondashuvlari bilan bog‘liq holda ko‘rib chiqiladi. O‘quvchi modelini shakllantirish, bilimlarni kuzatish, mashinaviy o‘qitish, tabiiy tilni qayta ishlash, tavsiya berish va mustahkamlovchi o‘qitish modellarining pedagogik imkoniyatlari ochib beriladi. Integratsiyalashgan adaptiv ta’lim tizimining konseptual arxitekturasi, matematik modeli, ishlash algoritmi, baholash mezonlari va joriy etishdagi cheklovlari asoslanadi. Tadqiqot natijasida o‘quvchi faoliyati haqidagi ma’lumotlarni bilim holatiga, bilim holatini esa pedagogik qaror va moslashtirilgan ta’limiy harakatga aylantiruvchi nazariy model taklif etiladi.

Аннотация

В статье рассматриваются теоретические, дидактические и технологические основы интеграции программированного обучения и искусственного интеллекта. Анализируются алгоритмическая структура программированного обучения, поэтапное усвоение материала и механизмы обратной связи в сочетании с современными подходами искусственного интеллекта. Раскрываются возможности моделирования обучающегося, отслеживания знаний, машинного обучения, обработки естественного языка, рекомендательных систем и обучения с подкреплением. Предлагаются концептуальная архитектура и математическая модель интегрированной адаптивной системы, алгоритм её работы, критерии оценки и ограничения внедрения. Исследование носит теоретико-концептуальный характер; эмпирическая эффективность модели требует проверки в реальной образовательной среде.

Abstract

The article examines the theoretical, didactic and technological foundations of integrating programmed instruction with artificial intelligence. It discusses the algorithmic structure of programmed instruction, step-by-step learning and feedback mechanisms alongside contemporary AI approaches. The educational potential of learner modelling, knowledge tracing, machine learning, natural language processing, recommendation systems and reinforcement learning is analysed. A conceptual architecture and mathematical representation of an integrated adaptive learning system are proposed, including its operational algorithm, evaluation criteria and implementation constraints. The study develops a theoretical model that transforms learner-activity data into an estimated knowledge state and then into pedagogically grounded decisions and adaptive instructional actions. The paper is conceptual and does not claim empirical effectiveness without classroom validation.

Kalit so'zlar: dasturlashtirilgan o‘qitish, sun’iy intellekt, adaptiv ta’lim, bilimlarni kuzatish, o‘quvchi modeli, mashinaviy o‘qitish, intellektual o‘qitish tizimi, shaxsiylashtirilgan ta’lim, tabiiy tilni qayta ishlash, pedagogik qaror

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