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Machine Learning and Artificial Intelligence in Education Research: A Comprehensive Overview of 22 Years of Research indexed in the Scopus Database
2
Zitationen
4
Autoren
2022
Jahr
Abstract
Abstract Objectives:Machine Learning (ML) and Artificial Intelligence (AI) remain crucial in education research and pedagogical development. The study provides an overview of ML and AI in education and research.Methods:In order to explore the field of ML and AI, a bibliometric approach was employed to extract and analyze data from the Scopus database. Bibliometrics analysis tools, VOS Viewer, Bibliometrics, and R packages were used to analyze the retrieved data.Results:A total of 1138 documents retrieved were written by 2800 authors, and published in 635 journals from 2000 to 2022, with average citations per document of 5.984 from 62 countries.Conclusion:The study identified an interesting gap that the previously published articles did not address: the implications of ML and AI in classroom learning activities and other pedagogical-related programmes.
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