Trends in Science Education from the Digital Perspective: a Study Supported by a Bibliometric Analysis

This study investigates the intersection of science education and digital technology integration through bibliometric analysis and trend identification. Utilizing multiple search approaches, including combining educational methodologies, the study analyses datasets spanning from 1993 to 2024. Key findings reveal a consistent growth in scientific production over the years, coupled with fluctuations in citation impact. Clustering and co-word network analyses uncover thematic clusters, emphasizing computational thinking, pedagogical content knowledge, and motivation. Factorial analysis further elucidates the underlying structure of the data, revealing dimensions capturing factors related to educational practices, cognitive processes, and attitudinal aspects. Trend topics highlight sustained interest in fundamental educational concepts like education, students, and science, alongside emerging focuses on engagement, attitudes, and skills.