The Application of Artificial Intelligence in School Management (Education)

Abstract

Purpose: This study aimed to explore the applications of artificial intelligence (AI) in school management.Methodology: A qualitative meta-analysis was conducted using the PRISMA method. Articles published between 2020 and 2024 were systematically reviewed from reputable databases, resulting in the selection of 16 studies that met the inclusion criteria. Data were analyzed by categorizing open codes into axial and selective themes, emphasizing the practical applications and implications of AI in school management.Findings: The results highlighted several key applications of AI in school management, including improved administrative efficiency, personalized learning, enhanced decision-making processes, and reduced repetitive tasks. AI technologies were found to facilitate data-driven decision-making, enable real-time feedback, and optimize resource allocation. Additionally, the study identified significant improvements in monitoring and evaluation systems and highlighted the role of AI in addressing challenges such as security, data privacy, and equitable access to technology in underserved regions. However, challenges such as limited infrastructure and resistance to adoption in some settings were noted as potential barriers.Conclusion: The study concludes that AI holds significant potential to transform school management by improving efficiency, personalization, and decision-making. Nonetheless, addressing challenges related to data privacy, infrastructure, and training is crucial for its successful implementation. The findings provide actionable insights for policymakers, educators, and school administrators to harness AI’s capabilities effectively while minimizing associated risks.