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Artificial intelligence (AI) is increasingly being integrated into educational administration processes, offering opportunities to enhance administrative efficiency, support decision-making, and facilitate routine tasks. However, the effective use of AI in educational management also raises concerns regarding data security, ethical issues, and the reliability of AI-generated outputs. The aim of this study is to examine educational administrators’ opinions about use of AI in educational administration process. The study was conducted using a qualitative case study design. Data were collected through a semi-structured interview form and analyzed using content analysis. The findings revealed that educational administrators primarily define AI as digital tools that perform data analysis, imitate human intelligence, and facilitate routine tasks. The most common areas of AI use in administration processes were identified as planning, communication and official correspondence, and data analysis. Participants stated that the most significant contributions of AI to educational administration include saving time, supporting decision-making processes, reducing workload, and accelerating administrative procedures. However, data security and ethical concerns, as well as the possibility of generating inaccurate or incomplete outputs, were identified as the main challenges encountered by administrators. Educational administrators emphasized that, for AI to be used more effectively in educational administration, in-service training opportunities should be expanded, AI systems tailored to national needs should be developed by the MoNE, technological infrastructure should be strengthened, and measures to ensure data security should be enhanced.
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Asil et al. (2026) studied this question.
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