Artificial Intelligence in STEM Education: A Bibliometric Analysis

Siti Fatimah, Sarwi Sarwi, Sri Haryani

Abstract


Artificial intelligence-oriented STEM Education is a form of innovation in science learning.  This research aims to analyze the trend in publications on artificial intelligence-oriented STEM Education from 2013 to 2023, visualization of STEM education and artificial intelligence research trends, and how artificial intelligence-oriented STEM education research contributes to elementary school learning.  This study was conducted in September 2023 using bibliometric analysis. Data was extracted from the Scopus database using the keywords "Artificial Intelligence and STEM Education" from 2013 to 2023, resulting in 118 records. After exclusions, 96 documents were retained. Subsequently, data mapping was performed using Biblioshiny and VOSViewer software.  The research findings indicate a strong relationship between artificial intelligence and STEM education.  In terms of document type, conference papers were the most common source compared to other document types. Additionally, based on the countries, the United States contributes the most to research in STEM education and artificial intelligence, followed by China and Hong Kong. An interesting finding is that the contribution of AI in STEM education is still low in elementary school, so research on this topic can be further developed in elementary education.


Keywords


Artificial Intelligence; STEM Education; Science Learning; Bibliometric Analysis; Elementary School

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References


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DOI: http://dx.doi.org/10.18415/ijmmu.v11i1.5273

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