Research article    |    Open Access
AI Research in Educational Leadership 2025, Vol. 1(2) 1-7

Doing Educational Leadership in the AI Age: Redefining the Roles and Responsibilities of System Level Leaders

Niyazi ÖZER

pp. 1 - 7

Publish Date: April 07, 2025  |   Single/Total View: 1/1   |   Single/Total Download: 1/1


Abstract

Technological advances have the potential to significantly impact various aspects of human life, including the educational sphere. It seems likely that the education of the future will be influenced by the advent of AI, and this will undoubtedly require a shift in thinking and action that is markedly distinct from past. In light of these developments, it would be beneficial for those in leadership positions within the education system, at all levels, including local and national education authorities, to undertake a thorough reassessment of their roles and responsibilities with regards to the planning, implementation and evaluation of AI and its integration in the education system. The aim of this study is therefore to explore the effective use of artificial intelligence in the management of educational organizations and also to discuss the new roles and responsibilities of system level educational leaders.

Keywords: Educational leadership, AI, AI-human collaboration


How to Cite this Article?

APA 7th edition
OZER, N. (2025). Doing Educational Leadership in the AI Age: Redefining the Roles and Responsibilities of System Level Leaders. AI Research in Educational Leadership, 1(2), 1-7.

Harvard
OZER, N. (2025). Doing Educational Leadership in the AI Age: Redefining the Roles and Responsibilities of System Level Leaders. AI Research in Educational Leadership, 1(2), pp. 1-7.

Chicago 16th edition
OZER, Niyazi (2025). "Doing Educational Leadership in the AI Age: Redefining the Roles and Responsibilities of System Level Leaders". AI Research in Educational Leadership 1 (2):1-7.

References
  1. Abduljaber, M. (2024). Perceived influence of artificial intelligence on educational leadership's decision-making, teaching, and learning outcomes: A transcendental phenomenological study [Doctoral dissertation, Liberty University]. Liberty University Repository. https://digitalcommons.liberty.edu/doctoral/5714 [Google Scholar]
  2. Aldighrir, W. M. (2024). Impact of AI ethics on school administrators’ decision-making: the role of sustainable leadership behaviors and diversity management skills. Current Psychology, 43, 32451–32469. https://doi.org/10.1007/s12144-024-06862-0 [Google Scholar] [Crossref] 
  3. Amado, J. A., Dayson, C. J. P., Gipaya, P. N., Hipos, A. M. G., Ortile, F. F., & Digo, G. S. (2024). Assessing the impact of AI generative tools on administrative and supervisory practices in education. Asia Pacific Journal of Management and Sustainable Development, 12(1), 32-40. [Google Scholar]
  4. Dai, R., Thomas, M. K. E., & Rawolle, S. (2024). The roles of AI and educational leaders in AI-assisted administrative decision-making: a proposed framework for symbiotic collaboration. The Australian Educational Researcher, 1-17. https://doi.org/10.1007/s13384-024-00771-8 [Google Scholar] [Crossref] 
  5. Donasco, A., & Oliveros, S. T. R. (2024). AI’s impact on educational leadership and learning. International Multidisciplinary Journal of Research for Innovation, Sustainability, and Excellence (IMJRISE), 1(8), 228-236. https://risejournals.org/index.php/imjrise/article/view/630 [Google Scholar]
  6. Fullan, M., Azorín, C., Harris, A., & Jones, M. (2024). Artificial intelligence and school leadership: challenges, opportunities and implications. School Leadership & Management, 44(4), 339-346. https://doi.org/10.1080/13632434.2023.2246856 [Google Scholar] [Crossref] 
  7. Gouëdard, P., B. Pont & R. Viennet (2020). Education responses to COVID-19: Implementing a way forward, OECD Education Working Papers, No. 224, OECD Publishing. https://doi.org/10.1787/8e95f977-en [Google Scholar] [Crossref] 
  8. Herold, B. (2019). Forty percent of elementary school teachers’ work could be automated by 2030, McKinsey Global Institute predicts. Education Week. https://www.edweek.org/education/forty-percent-of-elementary-school-teachers-work-could-be-automated-by-2030-mckinsey-global-institute-predicts/2019/06 [Google Scholar]
  9. Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign. [Google Scholar]
  10. Horn, M. B. (2024). AI is officially here, there, everywhere, and nowhere: Districts playing catch-up can still adopt sound policies for artificial intelligence. Education Next, 24(3), 80-82. [Google Scholar]
  11. Langeveldt, D. C. (2024). AI-Driven leadership: A conceptual framework for educational decision-making in the AI era. E-Journal of Humanities, Arts and Social Sciences, 5(8), 1582-1595. https://doi.org/10.38159/ehass.20245812 Lepori, B., Usher, J., & Montauti, M. (2013). Budgetary allocation and organizational characteristics of higher education institutions: a review of existing studies and a framework for future research. Higher Education, 65, 59-78. https://doi.org/10.1007/s10734-012-9581-9 Luckin, R. (2017). Towards artificial intelligence-based assessment systems. Nature Human Behaviour, 1(3), 0028. https://doi.org/10.1038/s41562-016-0028 [Google Scholar] [Crossref] 
  12. Madanchian, M., Taherdoost, H., Vincenti, M., & Mohamed, N. (2024). Transforming leadership practices through artificial intelligence. Procedia Computer Science, 235, 2101-2111. https://doi.org/10.1016/j.procs.2024.04.199 [Google Scholar] [Crossref] 
  13. Meng, N., & Sermsri, N. (2024). Integration of big data and AI in educational leadership practices: Opportunities and challenges. Eurasian Journal of Educational Research, 111, 47-67. https://doi.org/10.14689/ejer.2024.111.04 [Google Scholar] [Crossref] 
  14. Molina, E., Cobo, C., Pineda, J., & Rovner, H. (2024). AI revolution in education: What you need to know. In Digital Innovations in Education. World Bank. [Google Scholar]
  15. Najana, M., Bhattacharya, S., Kewalramani, C., & Pandiya, D. K. (2024). AI and organizational transformation: Navigating the future. International Journal of Global Innovations and Solutions (IJGIS). https://doi.org/10.21428/e90189c8.03fab010 [Google Scholar] [Crossref] 
  16. Oliveira, G., Grenha Teixeira, J., Torres, A., & Morais, C. (2021). An exploratory study on the emergency remote education experience of higher education students and teachers during the COVID-19 pandemic. British Journal of Educational Technology, 52(4), 1357-1376. https://doi.org/10.1111/bjet.13112 [Google Scholar] [Crossref] 
  17. Shah, P. (2023). AI and the future of education: Teaching in the age of artificial intelligence. John Wiley & Sons. [Google Scholar]
  18. Tyson, M. M., & Sauers, N. J. (2021). School leaders' adoption and implementation of artificial intelligence. Journal of Educational Administration, 59(3), 271-285. https://doi.org/10.1108/JEA-10-2020-0221 [Google Scholar] [Crossref] 
  19. Wang, Y. (2021). When artificial intelligence meets educational leaders’ data-informed decision-making: A cautionary tale. Studies in Educational Evaluation, 69, 100872. https://doi.org/10.1016/j.stueduc.2020.100872 [Google Scholar] [Crossref] 
  20. Williamson, B. (2017). Big data in education: The digital future of learning, policy and practice. Sage Publications Ltd. https://doi.org/10.4135/9781529714920 [Google Scholar] [Crossref] 
  21. Williamson, B. (2023). The social life of AI in education. International Journal of Artificial Intelligence in Education, 34, 97–104. https://doi.org/10.1007/s40593- 023- 00342-5 [Google Scholar] [Crossref] 
  22. Zhou, A., Men, L. R., & Tsai, W.-H. S. (2023). The power of AI-enabled chatbots as an organizational social listening tool. In K. R. Place (Ed.), Organizational listening for strategic communication (1st ed., pp. 63–80). Routledge. https://doi.org/10.4324/9781003273851-6 [Google Scholar] [Crossref]