Artificial Intelligence (AI) in Educational Management: Applications and Challenges

Abstract

Because of its potential to improve the quality, accessibility, and effectiveness of educational systems worldwide, the incorporation of artificial intelligence (AI) into educational management has drawn the attention of numerous academics in the field. This study examines the uses and challenges of AI in educational management. The study uses resources such as Google Scholar, ResearchGate, ScienceDirect, and Scopus to synthesise material published between 2023 and 2025, employing a scoping review approach. According to the findings, the use of AI in educational management can improve student performance and engagement, automate repetitive tasks, facilitate data-driven decision-making, increase administrative efficiency, improve the quality and efficiency of management work, personalise learning experiences, support equity and inclusivity in education, optimise resources, and facilitate communication and engagement. Nevertheless, its use is hampered by issues like data privacy and security breaches, the digital divide, ethical concerns, high implementation costs, a lack of technical know-how, infrastructure constraints, a lack of AI-integrated curricula, restricted access to technology, and resistance to change. This review highlights the critical need for a more thorough understanding of AI in educational management and identifies key topics, gaps, and future research objectives in the fragmented literature. Future research should examine flexible approaches to integrating AI into educational administration, emphasising the value of ongoing studies in this area.