AI-Driven Leadership in Educational Policy: A Systematic Literature Review

This article reviewed Langeveldt’s 2024 framework for educational policy. It highlights the role of Artificial Intelligence (AI) in making data-driven decisions easier. Policymakers can use AI to improve resources, curriculum, and policy choices. The paper analysed AI’s ability to sift through large data sets, spot trends, and predict outcomes. It also discussed challenges such as data privacy, bias, and unexpected effects. The study was based on theories such as constructivism and ethical AI. It aims to understand AI’s role in education. It shows examples in which AI has improved student performance and resource use. The research method included a review of existing studies on AI in education. It also offered solutions for schools facing resource constraints. The article ended with a call for AI-driven policies that are effective, fair, and adaptable. It found that AI can indeed improve policies by providing clearer insights and predictions. Finally, it suggests future research to explore AI’s evolving impact on education. Keywords: AI, Educational Policy, Data-Driven Decision Making, Curriculum Development, Ethical AI