Artificial Intelligence in Educational Leadership: A Two-Decade Bibliometric Analysis (2004–2024)

Resky Nuralisa Gunawan, Muhammad Bakhtiar Safari, Arshad SMBM, Fadhilanisa Salsabila, Yusriyah Khoirunisa, Fadel Muhammad

Abstract


This study presents a bibliometric analysis of Artificial Intelligence (AI) in leadership research, focusing on the intersection of AI technologies and leadership practices over the past two decades (2005–2023). Based on a dataset of 323 Scopus-indexed papers, the analysis identifies key trends, emerging themes, and the concentration of research in countries such as the United States, China, and Australia, and leading journals like Cogent Education. The study reveals the increasing prominence of AI ethics and generative AI in leadership research, reflecting a shift towards human-centered applications of AI in leadership contexts. The research gap addressed by this study lies in the limited exploration of how AI influences leadership practices across different sectors, particularly in educational leadership. While previous studies have focused on AI’s role in educational technology, this work uniquely examines AI's broader implications for leadership competencies and decision-making. The novelty of this study is in its comprehensive bibliometric approach, offering a structured analysis of global research trends and the development of a conceptual framework for AI in leadership. Practical implications of the findings include recommendations for educational policymakers to integrate AI literacy into leadership development programs, leadership trainers to incorporate AI tools into their training methods, and researchers to continue exploring AI’s role in leadership across various disciplines. The study underscores the importance of interdisciplinary collaboration to address ethical concerns related to AI and to foster responsible AI adoption in leadership practices. By providing insights into the current state of AI in leadership research, this study contributes to the development of more informed, ethical, and effective leadership strategies in both educational and organizational settings.

Keywords


e-learning; higher education, generative AI, academic integrity

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DOI: https://doi.org/10.59247/jtped.v1i1.29

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Copyright (c) 2024 Resky Nuralisa Gunawan, Muhammad Bakhtiar Safari, Arshad SMBM, Fadhilanisa Salsabila, Yusriyah Khoirunisa, Fadel Muhammad

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