Navigating Educational Leadership Research With Generative Artificial Intelligence

Abstract

This chapter explores the role of Generative Artificial Intelligence (GAI) in supporting research design and methodology in educational leadership. Since the introduction of ChatGPT in 2022, the use of GAI in education has expanded rapidly, being leveraged for tasks in K-20 institutions (Chen et al., 2020; Crompton & Burke, 2023). GAI has the potential to streamline research processes and enhances the depth of analysis (Kooli, 2023; Paek & Kim, 2021). As an educational leadership professor, I focus on how GAI improves research in this field, though many points apply to other settings. While GAI technologies offer powerful capabilities to boost efficiency, they also raise ethical considerations, particularly around bias, data privacy, and transparency (Lund et al., 2023). This chapter addresses the opportunities and challenges of GAI integration, emphasizing the need for responsible, fair, and inclusive practices. The Human in the Loop (HITL) approach and the Action, Specificity, Knowledge (ASK) framework are strategies presented here to ensure ethical AI use.