Modern artificial intelligence (AI) technologies are actively being integrated into the educational sector, facilitating the advancement of adaptive learning. AI-based adaptive educational systems enable personalization of the learning process by taking into account students' individual characteristics, their prior knowledge levels, and preferred learning styles. However, the question regarding the effectiveness of these technologies remains unresolved and necessitates further investigation.

The purpose of this research is to evaluate the effectiveness of AI technologies in implementing adaptive learning, identifying their advantages as well as potential limitations. To achieve this goal, theoretical analysis of scientific literature, comparative analysis of traditional and AI-based learning methods, as well as empirical approaches, including surveys of students and educators, analysis of educational data, and experimental studies employing intelligent educational platforms, were utilized.

The research findings indicate that AI-based adaptive systems enhance student motivation, improve material comprehension, and facilitate a personalized approach to learning. At the same time, certain limitations were identified, including ethical concerns, the need for ongoing technical support, and dependency on the quality of input data.

The key findings of the study confirm that AI technologies possess significant potential within the educational process; however, their effective implementation requires a comprehensive approach that encompasses methodological, technical, and pedagogical support.