Adaptive data-driven governance & administration of education during instability & in times of crisis

Abstract

Modern education operates in conditions of instability and crisis phenomena, which makes traditional management approaches ineffective. This necessitates the implementation of innovative, data-driven management. The use of big data analysis, artificial intelligence and predictive analytics allows creating new models that provide in-depth analysis of educational processes, forecasting results and optimizing resources. Such approaches increase the adaptability and flexibility of educational systems, minimize risks and ensure rapid response to crisis situations. In addition, they contribute to the transparency of decision-making, efficient use of resources and long-term development of educational institutions even in periods of turbulence. Thus, innovative, data-driven models are a key tool for modernizing and increasing the competitiveness of educational management.