The integration of artificial intelligence (AI) technologies into educational processes is significantly impacting the development of personalized learning systems. An analysis of the key functions of intelligent tutoring systems demonstrates that these AI technologies provide educators with opportunities to continuously improve their teaching methods while meeting students' educational needs. The aim of this study is to determine the current state of development of intelligent tutoring systems.

This article presents a comprehensive overview of AI technologies used to implement personalized learning in the education system, proposes a classification, and analyzes the specific features of their practical use. Specific systems are used to examine data on the goals, technologies, and content generation in intelligent tutoring systems. This systematic literature review utilizes the PRISMA method to select relevant studies, allowing for an analysis of various approaches to the use of intelligent tutoring systems, the tools used, their results, and methods for evaluating their effectiveness. The paper highlights the important role of intelligent tutoring systems in the educational process and their positive impact on students' academic performance: their use in both school and university settings has contributed to a significant increase in knowledge levels. The basic architecture of the developed intelligent learning system, aimed at supporting gifted children, is considered.

The basic architecture of the developed intelligent learning system, aimed at supporting gifted children, is considered.