A Comprehensive Review of Artificial Intelligence in Education: An AI-Assisted Bibliometric Analysis on Web of Science Database
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https://doi.org/10.5281/zenodo.10737254Keywords:
Artificial Intelligence, Artificial Intelligence in Education, AI Supported Bibliometric Analysis, Educational ResearchAbstract
Artificial Intelligence (AI) has the potential to overcome many challenges in the field of education, renew teaching and learning processes, and accelerate progress in this field. The aim of this study is to conduct an AI-supported bibliometric analysis of AI-related research in the field of educational sciences through the Web of Science (WoS) database. For this purpose, using bibliometric analysis techniques, the data of 3604 academic studies in the category of educational sciences were analyzed. In addition, the themes and categories emerging from the titles of the first 100 articles classified according to author keywords, keywords and citation reports were also analyzed using voyant-tools, GPT-4, Claude AI and Gemini. The findings show that educational research intersects with fields such as computer science, engineering and health sciences with an interdisciplinary approach. The study reveals that the use of AI in education involves ethical, political and social dimensions beyond pedagogical and technological dimensions. To fully explore the potential of AI in education, detailed research is required in various fields such as health and biotechnology, sustainability, environmental sciences, economics, finance, arts, culture, ethics, privacy and security. Research gaps in these areas offer opportunities to unlock the vast potential of AI in education.
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