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This research offers a bibliometric analysis of the generative Al research in Education. Using bibliometric data analysis as a method for mapping and visualizing applied GAI in education. Published papers (2225) between 2012 and 2024 are analyzed to understand GAI and identify the current knowledge status of the GAI as a powerful innovation that contributes to the future of education. The research fills gaps in the current literature by providing keyword co- occurrence topics, and shedding light on the emerging fields and future research trends.

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Generative Artificial Intelligence in Education: A Bibliometric Analysis

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  • 发表日期：

    2025年

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  • Saad G. Yaseen,
  • Dima M. Dajani,
  • Manal Abdulrahman,
  • Ihab Elqirem

摘要

This research offers a bibliometric analysis of the generative Al research in Education. Using bibliometric data analysis as a method for mapping and visualizing applied GAI in education. Published papers (2225) between 2012 and 2024 are analyzed to understand GAI and identify the current knowledge status of the GAI as a powerful innovation that contributes to the future of education. The research fills gaps in the current literature by providing keyword co- occurrence topics, and shedding light on the emerging fields and future research trends.