AI-Driven Leadership: A Conceptual Framework for Educational Decision-Making in the AI Era

Artificial Intelligence (AI) is changing the way students are educated in many ways, like improving teaching and learning, personalizing learning experiences, making things more efficient and effective, and promoting creativity and inclusivity. AI can cause problems for educational leaders. It can bring up ethical, legal, social, and cultural issues. It also requires leaders to learn new skills and abilities for the AI age. There is a need for Educational leaders to be proactive and strategic in order to make the most of the advantages and find solutions for the issues related to AI in education. This article aimed to examine how artificial intelligence is used in leadership in education. It also proposed a framework to understand and develop AI-based leadership in education. The basic idea of the conceptual framework relies on the theories of AI, leadership, and decision-making. It has four parts: inputs, processes, outputs, and feedback. The impact of the conceptual framework on education practices and policies was also examined. The article also discussed how education practices and policies are influenced by the conceptual framework. Additionally, the article explored the relationship between the conceptual framework and its effects on education practices and policies. The article highlighted the framework’s limitations and suggests potential areas for future research. This study contributes to the existing literature on enhancing learning through technology. Keywords: Artificial Intelligence, Educational Leadership, Decision-Making, Conceptual Framework