ANALYSIS OF SCIENTIFIC-PEDAGOGICAL PRINCIPLES AND APPROACHES TO ORGANIZING THE LESSON PROCESS BASED ON THE USE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES

Abstract

This thesis analyzes the scientific-pedagogical principles and practical approaches to applying artificial intelligence (AI) technologies in organizing the lesson process. The study substantiates principles such as personalization, adaptivity, continuous feedback, data-driven management, and the preservation of the human factor, showing that each directly influences the quality indicators of the modern lesson process. It also presents a comparative overview of practical integration models, including blended learning, the flipped classroom, and intelligent tutoring systems. The conclusions establish that artificial intelligence should be regarded not as a replacement for the teacher but as a tool that enhances teaching practice - a perspective considered essential for improving the quality of modern education.