Integrating Artificial Intelligence into Educational Leadership: Strategies for Effective Management

Document Type : Scientific research

Authors
1 Senior expert in counseling and guidance, Islamic Azad University, Tabriz branch, Tabriz, Iran (corresponding author)
2 Expert of the Department of Art Education, Farhangian University of Tabriz
Abstract
The integration of artificial intelligence (AI) into educational leadership has emerged as a transformative approach to enhance educational management practices. This review article examines the concepts, challenges and opportunities of integrating artificial intelligence in the framework of Iran's educational system. First, with an overview of artificial intelligence in educational leadership, the importance of artificial intelligence for educational management is discussed, and then the statement of the problem and the purpose of the study are examined. The literature review addresses historical perspectives, current trends, challenges, and opportunities associated with integrating artificial intelligence into educational leadership and provides insights from empirical findings and case studies. Methods for effective integration of artificial intelligence, including research design, data collection methods, sample population, and data analysis techniques, are outlined, focusing on Iran's educational landscape. Strategies for successfully integrating AI into educational leadership are discussed, including professional development, ethical considerations, infrastructure, collaboration, and ongoing evaluation. Finally, recommendations for future research, practical implications for educational leaders, and insights for navigating the complexities of AI integration are provided. This review provides valuable insights and guidance for educational leaders seeking to harness the potential of artificial intelligence to drive innovation, improve outcomes, and promote educational excellence in Iran.
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Volume 1, Issue 4 - Serial Number 4
Spring 2024
Pages 105-121

  • Receive Date 30 April 2024
  • Revise Date 24 May 2024
  • Accept Date 13 June 2024