Main Article Content

Abstract

The application of artificial intelligence (AI) to pedagogical frameworks is rapidly evolving,
particularly in STEM education. This study investigated research trends in the literature on AI
and STEM education from the earliest to the most recent. A bibliometric analysis was conducted
to answer seven research questions. The Scopus database was used to collect data, yielding 354
documents from 2008 to 2025. The findings revealed that publication trends in AI and STEM
education increased gradually, whereas the annual citation rate fluctuated. According to the
keyword co-occurrence analysis, STEM education, AI, and robotics were the most commonly
used terms. Research trends in AI and STEM education are evolving from the integration of
simple computer systems in early publications to the practical use of AI platforms, such as
ChatGPT, in STEM teaching. These findings provide comprehensive information and insights
into the dynamics of AI and STEM education, informing future research.

Keywords

Artificial intelligence Bibliometric Analysis Robotics Interventions STEM Education Technology-enhanced Learning

Article Details

Author Biographies

Amaira Utami, Universitas Pendidikan Indonesia, Indonesia

Department of Science Education, Faculty of Mathematics and Science Education

Nanang Winarno, Universitas Pendidikan Indonesia, Indonesia

Department of Science Education, Faculty of Mathematics and Science Education

How to Cite
Utami, A., & Winarno, N. (2026). A Bibliometric Analysis of Trends in Artificial Intelligence and STEM Education. Pan-African Journal of Education and Social Sciences, 6(3), 1–25. https://doi.org/10.56893/pajes2025v06i03.01

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