Leadership in Vocational Education Transformation: Integrating Artificial Intelligence for Personalized Learning Environments

Introducing new technologies, mainly Artificial Intelligence (AI), causes the study's relevance to the personalisation of the learning process in the field of vocational education, providing modern labour market requirements and digitalisation of the educational environment. AI use opens space to individualise learning tasks to enhance the effectiveness of education. The study explores the possibilities of applying artificial intelligence technologies for personalising learning within the VES (vocational education system) framework, aiming to incorporate AI into the learning environment. The research methodology consists of scientific literature analysis, questionnaires and interviews with teachers and students, and the experimental implementations of the adaptive learning platforms based on machine learning algorithms. The results of the study demonstrated the possibility of improving individual efficiency of the educational process by introducing adaptive AI-based learning systems that implement the personalisation of tasks and monitoring of students' progress. A survey of more than 200 respondents showed a positive perception of AI capabilities to improve the quality of education by teachers and students. An adaptive platform experiment showed an 18% increase in student performance due to an individual approach to learning. The practical significance of the work lies in the possibility of implementing the studied technologies in vocational education institutions to increase their efficiency and accessibility. The results obtained serve as a basis for further developing individual learning paths that meet the needs of the labour market and the development of students' digital competences.