<![CDATA[Digital transformation has reshaped education, with the integration of Artificial Intelligence (AI) into Science, Technology, Engineering, and Mathematics (STEM) education emerging as a major research frontier. This study presents a bibliometric analysis of the convergence between scientific literacy and digital pedagogy in AI-driven physics and STEM education research. The study was designed to: (1) analyze publication trends and the evolution of research topics; (2) map the intellectual structure of scientific knowledge related to scientific literacy in digital learning; (3) identify collaboration patterns among authors, institutions, and countries; and (4) formulate future research agendas for strengthening scientific literacy in AI-based education. A quantitative bibliometric approach was employed to analyze 425 scientific publications indexed in the Scopus database between 2013 and 2025, representing 158 publication sources. Data were analyzed using the Bibliometric package in RStudio, employing publication and citation trend analysis, keyword co-occurrence, thematic evolution, and collaboration network analysis. The results show a substantial increase in research productivity, with publications rising sharply after 2018 and reaching nearly 180 publications in 2024. The analysis identifies artificial intelligence, scientific literacy, digital learning, and STEM education as the dominant research themes, while highlighting the most productive countries, institutions, and international collaboration networks. The findings also reveal a shift from technology-oriented studies toward AI-supported pedagogical innovation that promotes scientific literacy and 21st-century competencies. The novelty of this study lies in integrating publication trends, thematic evolution, intellectual structure, and collaboration patterns to provide a comprehensive overview of AI-driven physics and STEM education research. These findings offer strategic insights for researchers, educators, and policymakers in identifying future research priorities, strengthening international collaboration, and developing evidence-based educational policies that foster scientific literacy in the era of AI and digital transformation.]]>
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