Education 4.0: innovative approaches to competence development in digital organizations

Purpose. Development of scientifically based concepts for the development of enterprise personnel competencies within the context of digital transformation. Methodology. The study is based on a comprehensive interdisciplinary approach, which includes the analysis of scientific sources, methods of predictive analysis, scenario modeling and comparative analysis. The methodology of systems analysis was applied to determine the relationships between technological changes and organizational knowledge and competency needs. Content analysis of scientific literature and digital learning practices was used to develop structured approaches for organizing continuous competency development in digital organizations. Findings. The concept of employee competence development has been substantiated through innovative approaches dictated by Education 4.0, which is based on the following key principles: forecasting needs in knowledge and competencies, implementing knowledge-based digital twins, creating self-learning ecosystems and integrating artificial intelligence into knowledge management processes. Three innovative concepts of continuous learning were developed: integrative digital andragogy, workflow-integrated microadaptive learning, and ecosystem-based development of transversal competencies. It has been proven that their application allows adapting to the requirements of digital transformation, developing the intellectual potential of enterprises through personalized and adaptive educational strategies. Originality. Theoretical and methodological foundations for the development of competencies in digital organizations have been developed, which take into account the dynamic updating of new competencies and the integration of intelligent technologies. New approaches to the organization of continuous learning based on digital andragogy, adaptive microlearning, and cognitive profiling of competencies have been proposed. A model of microadaptive learning has been proposed, which allows for the operational updating of knowledge in response to the digital transformation of the enterprise. Additionally, this study expands the concept of competence development in the context of Education 4.0 through the use of artificial intelligence and Big Data in predicting the required knowledge and competences of employees. Practical value. The practical significance of the results obtained lies in the possibility of their application by enterprises at different levels of digital maturity to develop knowledge management strategies that will meet the requirements of Education 4.0. The proposed concepts can be used to create corporate learning platforms, integrate adaptive learning modules into production processes, as well as to form personalized educational trajectories of employees.