This study explores the integration of artificial intelligence (AI) in the management processes of education, emphasizing its applications in various administrative functions. The research aims to analyze how AI contributes to decision-making, planning, organizing, communication, and coordination within educational institutions. By systematically reviewing recent literature, the study identifies the advantages and disadvantages associated with AI-driven management practices. The research follows a qualitative approach, conducting a comprehensive literature review to assess the transformative role of AI in enhancing educational administration. The findings highlight AI’s potential to optimize administrative tasks, streamline communication, and facilitate data-driven decision-making processes. However, challenges such as ethical concerns, data privacy issues, and the digital divide remain significant barriers to full-scale implementation. Additionally, the study examines the theoretical and practical implications of AI-driven educational management, providing insights into emerging trends and future directions. The results suggest that while AI has the potential to improve efficiency and effectiveness in educational institutions, its integration requires a balanced approach that considers ethical, technical, and institutional factors. The paper concludes by emphasizing the need for further research on AI’s long-term impact on educational management and the development of strategies to mitigate associated risks.
Artificial intelligence, educational management, decision-making, planning, organizing, communication, coordination.