Human-Machine symbiosis in educational leadership in the era of artificial intelligence (AI): Where are we heading?

The issue of Artificial Intelligence (AI) and educational leadership has become a central topic following the shift to knowledge technology and digital literacy in recent years. Despite increasing attention to the topic among scholars and policymakers during the last decade, we lack a comprehensive review of AI and educational leadership. Therefore, by using bibliometric analysis of data derived from the Scopus database, this paper represents a systematic scoping of AI and educational leadership, tracing its development, characteristics, and knowledge accumulation within broad perspectives. Results identify key trends, geographic representation, topical foci, main concepts, themes, and their interconnections, including their implications for targeted Sustainable Development Goals. Implications, limitations, and future research reviewed in the studies are fully discussed.

Authors

Publication Details

Journal
Educational Management Administration & Leadership
Published
2024-11-05
DOI
https://doi.org/10.1177/17411432241292295
Citations
21
Primary Topic
Educational Innovations and Challenges
Type
article
Field-Weighted Citation Impact
16.36
Controls
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article

Human-Machine symbiosis in educational leadership in the era of artificial intelligence (AI): Where are we heading?

Soheil Salha, Ahmed Tlili, Khalid Arar
21 citations
Educational Management Administration & Leadership
Educational Innovations and Challenges
16.36
article

Human-Machine symbiosis in educational leadership in the era of artificial intelligence (AI): Where are we heading?

Soheil Salha, Ahmed Tlili, Khalid Arar
article en
21 citations

Abstract

The issue of Artificial Intelligence (AI) and educational leadership has become a central topic following the shift to knowledge technology and digital literacy in recent years. Despite increasing attention to the topic among scholars and policymakers during the last decade, we lack a comprehensive review of AI and educational leadership. Therefore, by using bibliometric analysis of data derived from the Scopus database, this paper represents a systematic scoping of AI and educational leadership, tracing its development, characteristics, and knowledge accumulation within broad perspectives. Results identify key trends, geographic representation, topical foci, main concepts, themes, and their interconnections, including their implications for targeted Sustainable Development Goals. Implications, limitations, and future research reviewed in the studies are fully discussed.

Educational Management Administration & Leadership
Quality Education
Openalex Percentile: Top 1%
Educational Innovations and Challenges
16.36
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