A BIBLIOMETRIC ANALYSIS OF THE USE OF ARTIFICIAL INTELLIGENCE IN TEACHER EDUCATION BASED ON THE SCOPUS DATABASE
DOI:
https://doi.org/10.18173/2354-1075.2024-0122Keywords:
bibliometric, artificial intelligence, teacher educationAbstract
This study evaluates the application of artificial intelligence (AI) in teacher education through an analysis of 686 articles indexed in Scopus. Results show growing interest in the topic over the past 32 years (1991–2023), with Computers and Education as the leading journal for related research. Ma’s (2014) study on Intelligent Tutoring Systems is the most cited, with 345 citations. Key terms such as “teacher education,” “intelligent tutoring systems,” and “artificial intelligence” frequently appear. The United States leads in research output, followed by significant growth in China, though international collaboration is limited. This review provides essential insights for researchers, policymakers, and educators, guiding future studies to promote global cooperation and sustainable advancements in AI applications in education.
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