Integration of Big Data and AI in Educational Leadership Practices: Opportunities and Challenges

Abstract

Aim: This article explores the integration of Big Data and Artificial Intelligence (AI) into educational leadership and management, addressing associated challenges, opportunities, and implications for enhancing leadership capabilities. Method: An iterative systematic literature review, guided by the PRISMA framework, was conducted to assess the contributions of Big Data and AI to educational leadership. Results: The study identifies key issues such as legal, ethical, social, technological, and capacity-related barriers that impede the effective use of these technologies in education. Conversely, it highlights potential benefits including personalized learning, data-driven decision-making, and strategic budgeting, which can collectively enhance educational outcomes. The paper employs Transformative Leadership Theory to examine how educational leaders can navigate these challenges and leverage opportunities to foster equity, innovation, and inclusivity within the learning environment. Conclusion: Findings emphasize the importance of cultivating a data literacy culture among educational leaders, focusing on ethics, technological proficiency, and ethical awareness. By adopting a collaborative and balanced approach, educational leaders can utilize Big Data and AI to transition towards evidence-based policymaking, thereby improving student learning outcomes across diverse demographics.