Bibliometric Dataset on AI in Education
Description
Bibliometric Dataset on AI in Education (1,063 Articles) Based on the Scopus Database as of April 1, 2024
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Steps to reproduce
The bibliometric review followed the modified PRISMA guidelines for systematic research reviews (Page et al., 2021). The search terms ‘AI in education,’ ‘Artificial intelligence in education,’ and ‘Artificial intelligence in teaching and learning’ were used in Scopus, along with subject filters to refine results. The study’s scope was defined by search field, time frame, source type, and document type, excluding irrelevant papers. Using PRISMA ensures a systematic, transparent, and replicable approach, providing a structured framework for searching, screening, and reporting data. This method helps eliminate bias through clear inclusion and exclusion criteria, ensuring a comprehensive and unbiased dataset.