Generative AI has the potential to transform various aspects of educational leadership, but little is known about how school principals perceive and use these technologies in their professional roles. This study aims to explore school principals’ perceptions towards generative AI and identify the applications they have already integrated into their administrative and educational practices. Through a sequential mixed-method approach, we will conduct in-depth interviews with three school principals to gather qualitative insights into their professional experiences with AI. In addition, a survey informed by the interview results will be administered to 80 school principals to capture broader perceptions of opportunities and challenges using generative AI applications in their everyday leadership.
The research seeks to uncover how generative AI may support tasks such as administration, school management, decision-making and analysis. We will also examine the perceived opportunities and challenges of AI, as well as the ethical and operational challenges principals face. By identifying both the current uses and future potential of generative AI in education, this study will provide critical insights for educational leaders and policymakers seeking to integrate AI tools effectively.
The findings aim to contribute to the growing body of knowledge on AI in education, highlighting opportunities for innovation in school leadership.
Keywords: Artificial Intelligence, educational policy, educational technology, school leadership
Extended Abstract
Research Aims
This study aims to explore school principals’ attitudes towards generative AI, identify its current applications in their professional roles, and assess their organizational readiness for AI integration. As generative AI becomes increasingly relevant in educational settings, understanding how school principals perceive and apply this technology in their leadership roles is essential. This research is guided by three primary objectives: Attitudes and Perceptions: Investigate school principals’ attitudes towards the utility, benefits, and limitations of generative AI in educational leadership; Current Applications: Identify specific uses of generative AI that school principals have adopted within their administrative and instructional practices; and Organizational Readiness: Assess the level of preparedness within schools to integrate AI, focusing on two aspects: (1) principals’ knowledge for making informed decisions about AI, and (2) whether schools have defined, actionable visions for AI’s role, grounded in Weiner’s Organizational Readiness for Change Model.
Methodology
This research employs a sequential mixed-methods approach to capture both in-depth qualitative insights and generalizable quantitative data: (1) Qualitative Phase – In-depth Interviews. The initial phase involves conducting in-depth interviews with 10 school principals in Sweden and Australia during February - March 2025. These interviews are designed to elicit detailed professional experiences, insights, and reflections on using generative AI in their roles. Open-ended questions will focus on the perceived value of AI for various tasks, specific applications in school management, and the challenges they have encountered. Importantly, interviews will also explore principals’ perceptions of their knowledge of AI and the presence (or absence) of an institutional vision regarding AI integration. (2) Quantitative Phase – Survey. Insights from the interviews will inform the design of a survey administered to 80 principals in Sweden in May 2025, with a separate administration in Australia in the second half of 2025. This survey aims to capture broader perceptions and experiences across a larger sample, ensuring that findings reflect diverse educational contexts. Survey questions will cover principals’ general attitudes towards AI, its perceived benefits and challenges, and readiness aspects such as knowledge and vision. The survey will also include items inspired by Weiner’s Model, focusing on school-level commitment to AI integration, shared efficacy among staff, and resources available for potential AI projects.
Anticipated Findings
While findings are preliminary, the study is expected to reveal important insights into how generative AI is currently used and perceived in educational leadership in the following three areas: (1) Attitudes and Perceptions: It is anticipated that principals will exhibit cautious optimism towards AI, recognizing its potential for efficiency and data-driven insights in school management while voicing concerns about ethical considerations, data security, and practical implementation. (2) Current Applications: Early evidence suggests that principals may currently employ AI for tasks such as data analysis, report generation, and administrative planning, but we have early indications of more innovative applications as well. Applications may also vary significantly depending on the size, resources, and technological infrastructure of each school. (3) Organizational Readiness: Principals’ knowledge of AI is likely to vary widely, potentially revealing gaps in both general AI literacy and specific skills needed for AI decision-making. Findings will also provide insights into the presence of AI visions within schools, exploring whether these visions are aligned with strategic goals, well-communicated among staff, and supported by adequate resources and professional development.
Theoretical Significance
The study is theoretically grounded in Weiner’s Organizational Readiness for Change Model, which offers a robust framework for analysing an organization’s readiness to implement new technologies. This model highlights two main aspects of readiness: (1) change commitment, which refers to the shared willingness within the organization to embrace change, and (2) change efficacy, which concerns the confidence that the organization has in its capacity to carry out change. By applying this model, the study will be able to gauge both the level of commitment among school leaders and their belief in their ability to incorporate AI effectively.
Educational Significance
This research’s educational significance lies in its potential to guide school leaders, policymakers, and stakeholders in integrating generative AI responsibly and effectively into school management and instructional support.
By pinpointing the AI knowledge principals find relevant, the study could inform professional development programs that equip leaders with skills to address ethical and legal implications and implement AI tools aligned with educational values. Insights into schools’ AI strategies may underscore the importance of strategic planning in technology adoption, as schools with clear strategies are better positioned to leverage benefits while addressing challenges. The findings could prompt schools to articulate AI integration goals, focusing on student outcomes, teacher support, and equity.
By identifying readiness gaps, such as knowledge deficits or lack of a unified strategy, the study may underscore the need for policies supporting AI adoption, including funding for necessary infrastructure, professional learning resources, and ethical frameworks in education. These findings may also aid policymakers and district-level administrators as they seek to foster innovation across schools in a way that is equitable and aligned with educational objectives.
Conclusion
This research seeks to fill a gap in the understanding of generative AI’s role in educational leadership, with a focus on principals’ attitudes, practical applications, and organizational readiness for change. By examining the current landscape of AI use and identifying readiness factors, this study will provide essential insights for educational leaders and policymakers striving to leverage AI’s potential responsibly. Findings are expected to contribute to the broader knowledge base on AI in education, with practical implications for fostering organizational readiness and advancing innovative leadership practices in schools.