Використання інструментів штучного інтелекту під час розроблення плану персоналізованого навчання

Personalisation of learning is one of the key trends in the development of modern education and supports the concept of creating individual educational trajectories. Artificial intelligence technology for this purpose, as well as ready-made tools and educational platforms with AI assistants, contributes to the development of adaptive learning and is based on data analysis of student performance. The article analyses the historical background of personalised learning, starting with classic models such as Fred Keller's Personalised Learning System (PSI) to modern platforms that use AI algorithms and learning analytics to create individual learning plans. The purpose of the study is to identify modern methods and technologies for personalising the educational process using artificial intelligence tools and existing platforms for creating educational content tailored to the individual needs and abilities of students, to analyse their effectiveness and to identify key challenges accompanying the implementation of personalised approaches to learning. The research methodology includes analysis of scientific literature, review of modern platforms and systems of personalised learning, and generalisation of practical experience in using artificial intelligence in education. The scientific novelty of the work lies in the systematisation of modern approaches to personalising learning using AI technologies, identifying their advantages and disadvantages, and formulating recommendations for ensuring the ethical and practical use of AI in the educational process. Conclusions. The main results of the research demonstrate that personalised learning using AI makes it possible to adapt educational content to the individual needs of students, increasing motivation and success. At the same time, this approach requires addressing ethics, confidentiality and equal access to technology. Implementing personalised approaches to learning depends on a combination of technologies, pedagogical practices and strict adherence to ethical standards. AI technologies should be used to support education, not as a substitute for teachers, who ensure the quality of the educational process.