STATISTICAL ANALYSIS, ARTIFICIAL INTELLIGENCE AND BLOCKCHAIN IN THE MANAGEMENT OF EDUCATIONAL

Abstract

This study analyzes the management of educational startups (edtechs) in contexts of uncertainty, establishing an analogy with games of chance, such as poker and roulette, to highlight the unpredictability of the educational market. This perspective underscores the importance of statistical analysis and risk management, as well as a values-oriented organizational culture capable of reducing uncertainty and curbing pedagogical opportunism. Leadership aligned with institutional principles fosters more consistent and sustainable decision-making. Statistical analysis in education supports management at different levels, enabling the evaluation of the performance of students, institutions, and educational systems, while also guiding planning and public policies. Even in uncertain contexts, it allows forecasting course demand and adjusting strategies, improving decision-making processes. Cost management is essential for the performance of edtechs, especially in competitive and dynamic environments. The case of Mesbla’s bankruptcy in 1999 highlights the risks of focusing solely on cost reduction without exploring new opportunities. Finally, the integration of AI, blockchain, and statistical analysis enhances efficiency, transparency, and innovation in management, supporting cost forecasting, resource optimization, and automation of educational processes. These advances reinforce competitiveness in the education sector and the need for agility in data analysis to respond to market changes and complex, evolving educational demands.