<![CDATA[This study aims to map the global trend of publications related to artificial intelligence (AI) in science learning through bibliometric analysis. The main problem raised is the limited understanding of the development of AI research themes in education, especially in developing countries. The research method uses bibliometric analysis with data taken from the Scopus database and analyzed using VOSviewer software. A total of 118 relevant articles from 2000 to 2024 were analyzed based on publication patterns, collaborations between researchers, and geographical distribution. The results of the study show a significant increase in the number of publications since the mid-2010s, with a peak in 2022. The most dominant topics include adaptive learning, learning analytics, and virtual simulation. Visualization of the collaborative network indicates high fragmentation, although there are several key authors and institutions leading the research. The study also found that most of the publications came from developed countries, with little representation from developing countries. The conclusion of the study confirms that AI has great potential for educational transformation, but its implementation is still limited by technology and resource gaps. The limitations of this study include a lack of data from developing countries and a lack of exploration of the pedagogical impact of AI. Therefore, it is recommended to expand international collaborations and enhance research that focuses on local contexts. In addition, an in-depth study of ethical and sustainability aspects in the application of AI in education is needed]]>
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