Artificial Intelligence in Educational Leadership: Strategic Pathways for Resilient Learning Systems
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Abstract
Artificial Intelligence (AI) in education is driving the pace of leadership and governance across learning systems globally. This paper questions the contribution of AI in consolidating an educational leadership with a specific focus on how AI can foster resilient learning systems. It draws on the conceptual lens of organizational resilience theory and digital transformation research to investigate how AI could help evidence-based decision-making, resource utilization and teacher-student interaction. The paper uses a mixed-methods methodology, including a systematic review of international literature and secondary analysis of global policy documents. The results indicate that well-positioned, AI can play a dual role as an innovation catalyst and as a buffer during system-wide shocks like pandemics or economic downturns. Numerous ethical dangers, algorithmic prejudices, and digital divides, however, are serious impediments to overcome. The article ends by providing strategic directions for policy decision-makers, educational leaders, and institutions to responsibly weave AI into leadership practices so that technology serves to advance resilience, equity, and inclusion in educational ecologies.
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