Gunawan, Resky Nuralisa and Safari, Muhammad Bakhtiar and Ojochegb, Ameh Timothy and Jacob, Udeme Samuel and Febriyani, Nurul and Nurhalisah, Nurhalisah (2025) Analysis of Artificial Intelligence and Leadership in Education: A WoS-Based Study (2004-2024). Journal of Technological Pedagogy and Educational Development, 2 (3). pp. 97-113.

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Abstract

Artificial Intelligence (AI) is gaining significant attention in educational leadership, offering transformative potential for decision-making, learning outcomes, and leadership effectiveness. Despite these promising opportunities, AI adoption faces challenges such as ethical concerns, technological barriers, and the need for substantial investments in infrastructure and training. A multidisciplinary approach, combining AI innovations with ethical frameworks, is proposed to navigate these challenges, ensuring AI is responsibly integrated into leadership practices. This research contributes a comprehensive bibliometric analysis of AI’s integration into leadership, focusing on educational contexts, and providing valuable insights into key trends, emerging technologies, and ethical considerations shaping future leadership. The study utilizes a bibliometric analysis approach, drawing from the Web of Science (WoS) database for articles published from 2004 to 2024. The research examined topics like AI, leadership, and education, using keywords and Boolean searches to capture relevant data. The analysis reveals a growing interest in AI's role in leadership, particularly using advanced technologies such as NLP models and transformers. Key countries leading in AI and leadership research include Saudi Arabia, Australia, China, and the UK. Leading journals like "Expert Systems with Applications" and "BMC Medical Education" have significantly influenced the field. Keywords network analysis identified three main research clusters: Deep Learning & NLP, Algorithms & Frameworks, and AI & Healthcare, highlighting the intersection of AI with ethical considerations and decision-making processes in leadership. The study underscores the transformative potential of AI in leadership practices, particularly in education, while emphasizing the importance of addressing ethical implications. It offers a roadmap for future research on AI-driven leadership, focusing on ethical integration and practical application across various sectors.

Item Type:	Artikel Umum
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisi / Prodi:	Faculty of Industrial Technology (Fakultas Teknologi Industri) > S1-Electrical Engineering (S1-Teknik Elektro)
Depositing User:	M.Eng. Alfian Ma'arif
Date Deposited:	05 Nov 2025 07:22
Last Modified:	05 Nov 2025 07:22
URI:	http://eprints.uad.ac.id/id/eprint/88434
Dosen Pembimbing:	UNSPECIFIED | [error in script]

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