OPTIMIZING THE EDUCATIONAL PROCESS USING ARTIFICIAL INTELLIGENCE

Abstract

This article analyzes the relevance, practical directions, and implementation conditions of optimizing the educational process with the help of artificial intelligence (AI). AI-based adaptive learning, learning analytics, automated assessment, and generative content tools can reduce the teacher’s workload, personalize learning materials, and help steadily improve learners’ outcomes. However, such solutions deliver the expected results only when requirements related to data quality, privacy, fairness (bias), academic integrity, and transparency are observed. The article presents the main mechanisms of optimization through AI, the stages of implementation at the teacher and educational institution levels, and recommendations for mitigating risks. In conclusion, it is argued that AI can positively impact educational quality when viewed not as a tool that “replaces the teacher,” but as one that “empowers the teacher.”