Artificial Intelligence in Educational Management: Opportunities and Predictive Mechanisms in the Context of Uzbekistan

Аннотация

This paper investigates the integration of artificial intelligence (AI) into educational management, with a particular
focus on predictive mechanisms for Uzbekistan’s school system. Using a mixed-methods approach, the study
analyzes quantitative EMIS data alongside qualitative insights obtained from school leaders to identify current practices,
challenges, and institutional readiness for AI-based forecasting. The findings indicate that only 18 % of schools currently
use AI tools in managerial decision-making; however, more than 90 % of school principals acknowledge the necessity of
AI for planning student enrollment, staffing, and academic performance. The paper concludes that the development of
AI-supported forecasting within the national EMIS platform has the potential to transform decision-making processes from
reactive to proactive management. Policy recommendations are proposed to strengthen digital infrastructure, leadership
competencies, and data-driven governance.