ARTIFICIAL INTELLIGENCE IN EDUCATIONAL LEADERSHIP: CHALLENGES AND OPPORTUNITIES

Abstract

Title: Artificial Intelligence in Educational Leadership: Challenges and Opportunities This Master's thesis investigates the complex relationship between artificial intelligence (AI) and K-12 education, with particular focus on implications for school leadership. Through comprehensive literature review and qualitative analysis, the study examines critical themes including: Development of robust professional development frameworks Evolution of leadership competencies in AI-enhanced environments Strategies for addressing educational disparities Ethical considerations in AI adoption The research synthesizes multiple theoretical frameworks including transformative leadership theory, TPACK, and connectivism to provide a nuanced perspective on AI integration in education. Key findings reveal significant shifts toward more comprehensive ethical frameworks, expanded leadership roles encompassing digital equity advocacy, and a deeper understanding of AI's potential to both exacerbate and bridge educational gaps. The study advances the field by illuminating effective leadership strategies for AI integration, highlighting collaborative design processes and stakeholder engagement. It also identifies directions for future research, particularly in evaluating AI's long-term impacts on learning outcomes and developing equitable implementation strategies across diverse international contexts.