Systematic Overview of Artificial Intelligence and its Applications in the Educational Process

Abstract

The article systematizes artificial intelligence technologies and identifies their application in education. This study is relevant because digital and artificial intelligence technologies are increasingly used in education. The goal is to organize artificial intelligence technologies and analyze their didactic potential. The paper summarizes scientific classification approaches and recommends using functional purpose, technological basis, and autonomy as criteria. Main types include generative models, adaptive learning systems, intelligent assessment systems, and educational data analytics, built on machine learning, deep learning, natural language processing, and computer vision. Findings show that artificial intelligence enables personalized learning, fosters critical thinking, improves formative assessment, increases interactivity, and supports teachers. The study concludes that using these technologies rationally increases educational effectiveness, supports individualized learning, and develops students’ key competencies in a digital environment.