Generative Artificial Intelligence in Early Childhood Education: A Bibliometric Analysis

Artificial Intelligence (AI) technologies have been applied in various domains. Generative artificial intelligence (generative AI, GAI) is an emerging artificial intelligence method that generates multiple forms of data such as text, images, and videos. For example, using GAI educational technology is a recent significant trend, which has more and more studies of GAI in ECE. However, there is a lack of studies that provide an analysis of the studies of GAI in ECE. In this paper, we provide a bibliometric method to analyze the studies of various topics such as GAI in ECE. Importantly, we released the open-source code to improve the development of bibliometric analysis in various domains. This paper contributes to providing introductory material for beginners to GAI (particularly in ECE), as well as supplementary material for advanced users.

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Publication Details

Published
2025-05-23
DOI
https://doi.org/10.1109/ccai65422.2025.11189812
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.65
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Generative Artificial Intelligence in Early Childhood Education: A Bibliometric Analysis

Su Jin Yang, Yili Shi, Qin Wang, David Sun et al.
1 citations
Artificial Intelligence in Healthcare and Education
0.65
article

Generative Artificial Intelligence in Early Childhood Education: A Bibliometric Analysis

Su Jin Yang, Yili Shi, Qin Wang, David Sun, Jia Zeng
article en
1 citations

Abstract

Artificial Intelligence (AI) technologies have been applied in various domains. Generative artificial intelligence (generative AI, GAI) is an emerging artificial intelligence method that generates multiple forms of data such as text, images, and videos. For example, using GAI educational technology is a recent significant trend, which has more and more studies of GAI in ECE. However, there is a lack of studies that provide an analysis of the studies of GAI in ECE. In this paper, we provide a bibliometric method to analyze the studies of various topics such as GAI in ECE. Importantly, we released the open-source code to improve the development of bibliometric analysis in various domains. This paper contributes to providing introductory material for beginners to GAI (particularly in ECE), as well as supplementary material for advanced users.

Shenzhen Institute of Information Technology (CN), Shenzhen University (CN), Bangkok University (TH), Dalian Minzu University (CN), Rangsit University (TH)
Openalex Percentile: Top 21%
Artificial Intelligence in Healthcare and Education
0.65
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