Document Type : Review article
Authors
1 Ph.D. Student, Educational Technology, Allameh Tabataba'i University, Tehran, Iran. Researcher at the Research and Curriculum Planning Organization
2 Master of Educational Management, Kharazmi University, Tehran, Iran.
Abstract
Advances in the field of artificial intelligence have presented educational leadership with opportunities and challenges, and the effective use of this technology at a strategic level has been accompanied by conceptual ambiguities and fragmentation in the literature. The aim of the study was to provide a coherent classification of applications of artificial intelligence in educational leadership. The study was conducted with a systematic review approach and qualitative-inductive analysis. The research population included all studies in the field of artificial intelligence and educational leadership from 2017 to 2025, and the selection of sources was carried out using the PRISMA flowchart in the Scopus, ERIC, and IEEE Xplore databases, and ultimately 32 eligible sources were selected for the content analysis. The findings showed that the applications of artificial intelligence in educational leadership can be classified into ten distinct areas: executive effectiveness, personalized learning, improving teaching practices, decision-making and policy-making, student support, organizational leadership and strategic planning, regulatory oversight, community engagement and communication, ethical leadership in artificial intelligence, and diversity, equity, and inclusion. These domains cover different dimensions of educational leadership and highlight the potential of AI technologies to improve organizational performance, data-driven decision-making, and ensure educational equity. The proposed taxonomy provides a practical framework for administrators, policymakers, and technology developers to design AI deployments in the educational system with a coherent, ethical, and contextual perspective. By conceptually organizing the applications, the present study provides a framework for designing professional development programs and future research in intelligent educational leadership.
Keywords
- Artificial Intelligence
- Conceptual Classification
- Educational Innovation
- Educational Leadership
- Educational Policy-Making
Main Subjects
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