Educational Leadership in Responding to Artificial Intelligence Disruption
DOI:
https://doi.org/10.54518/nes.4.1.2026.1447Keywords:
Artificial Intelligence, AI Literacy, Digital Transformation, Educational Leadership, Technological DisruptionAbstract
The rapid advancement of Artificial Intelligence (AI) has significantly transformed educational systems, affecting both learning processes and institutional governance. These developments require educational leadership that can adapt to technological change while ensuring that AI implementation remains aligned with educational quality improvement. This study aims to analyze the role of educational leadership in responding to AI disruption using a Systematic Literature Review (SLR) approach. The review examined scholarly publications and policy documents published over the last five years obtained through Google Scholar and official publications from relevant international organizations. The collected literature was analyzed using content analysis to identify major themes and develop a conceptual synthesis. The findings indicate that successful AI implementation in education depends on leaders' ability to establish a digital transformation vision, strengthen AI literacy, promote data-driven decision-making, cultivate an innovation-oriented organizational culture, and implement ethical AI governance. Furthermore, educational leadership in the AI era should integrate human intelligence and artificial intelligence synergistically, allowing technology to support decision-making while preserving human responsibility in strategic leadership. This study contributes a conceptual framework that reinforces adaptive, collaborative, and sustainable educational leadership for addressing AI disruption in contemporary education.
References
Alqahtani, T., Badreldin, H. A., Alrashed, M., Alshaya, A. I., Alghamdi, S. S., Bin Saleh, K., ... & Albekairy, A. M. (2023). The emergent role of artificial intelligence, natural learning processing, and large language models in higher education and research. Research in social and administrative pharmacy, 19(8), 1236-1242.
Chigbu, B. I., & Makapela, S. L. (2025). Data-driven leadership in higher education: advancing sustainable development goals and inclusive transformation. Sustainability, 17(7), 3116.
Cope, B., Kalantzis, M., & Searsmith, D. (2021). Artificial intelligence for education: Knowledge and its assessment in AI-enabled learning ecologies. Educational philosophy and theory, 53(12), 1229-1245.
Deogaonkar, A. (2025). Digital leadership, AI readiness and strategic resource allocation in education: a configurational approach to post-pandemic transformation. International Journal of Educational Management, 39(5), 1105-1119.
Firdaus, I. C. (2025). Refleksi Kepemimpinan Sekolah di Tengah Revolusi AI. CV Eureka Media Aksara.
Hu, X., Sun, S., Yang, W., & Ding, G. (2023). Artificial intelligence empowering the high-quality development of education: Demands, visions, and paths. Frontiers of Education in China, 18(1), 1.
Kaswan, K. S., Dhatterwal, J. S., & Ojha, R. P. (2024). AI in personalized learning. In Advances in technological innovations in higher education (pp. 103-117). CRC Press.
Matar, S. (2025). The development of educational technology and artificial intelligence and their impact on the future of education: Opportunities and risks. Journal of Posthumanism, 5(7), 1271-1292.
Porayska-Pomsta, K., Holmes, W., & Nemorin, S. (2023). The ethics of AI in education. In Handbook of artificial intelligence in education (pp. 571-604). Edward Elgar Publishing.
OECD. (2023). OECD digital education outlook 2023: Towards an effective digital education ecosystem. OECD Publishing. Retrieved November 23, 2025 from https://doi.org/10.1787/c74f03de-en
UNESCO. (2021). Recommendation on the ethics of artificial intelligence. UNESCO.
UNESCO. (2023). Guidance for generative AI in education and research. UNESCO.
Wang, Y. (2021). Artificial intelligence in educational leadership: a symbiotic role of human-artificial intelligence decision-making. Journal of Educational Administration, 59(3), 256-270.
World Economic Forum. (2025). The future of jobs report 2025. World Economic Forum. Retrieved November 20, 2025 from https://share.google/w5OQPbiLZstYVyzTi
Zhang, D., Song, B., Geng, H., Chen, Y., & Liu, H. (2025). The institutional evolution of chinese university data governance: an analytical framework based on historical institutionalism. Education Sciences, 15(7), 891.
