أطراس
Volume 5, Numéro 3, Pages 445-463
2024-09-30
Artificial Intelligence In Education: A Comprehensive Bibliometric Study on Scopus (2010-2024)
Authors : Guechairi samira .
Abstract
This study rigorously analyses artificial intelligence (AI) publications in education from 2010 to 2024 using Scopus data. Employing the Bibliometrix package in R for data analysis and VOSviewer for visualization, the research examines 9,564 papers, revealing a significant rise in AI research, peaking in 2023. Social Sciences notably contribute to this growth. Researchers Wang Y, Liu Y, and Zhang Y, along with the journals "Sustainability" and "Artificial Intelligence Review," are identified as key contributors. Highly cited articles focus on algorithm transparency and deep learning. China and the USA are highlighted as leading countries in AI development, indicating substantial state investment. The study comprehensively analyses AI's role in education, emphasizing practical applications and interdisciplinary cooperation, and proposes future research directions, including ethical considerations and qualitative impact assessments. The findings underscore AI's evolving nature and transformative potential in education, advocating for on-going investment and innovation.
Keywords
artificial intelligence ; bibliometric analysis ; deep learning ; education ; Bibliometrix ; VOSviewer; scopus
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