A Bibliometric Analysis: Research Trends of Computational Thinking on Problem-Based Learning from 2014 to 2024

This study conducts a comprehensive bibliometric analysis to explore the evolving research trends on the intersection of computational thinking (CT) and problembased learning (PBL) from 2014 to 2024. CT, a crucial twenty-first century skill that emphasizes problem-solving through algorithmic and analytical approaches, and PBL, an instructional method that emphasizes the application of knowledge to solve realworld problems, have both garnered increasing research attention and pedagogical interest in recent years. By analyzing a wide range of publications from Scopus databases, this research examines in-depth publication trends, citation networks, author collaborations, and thematic developments within this interdisciplinary field. The results indicate a significant increase in research activity and scholarly output, especially in the past ten years, suggesting growing momentum and recognition of the potential synergies between CT and PBL. The study highlights the leading contributors to this field, including the United States, China, India, and Indonesia, and identifies influential publications, emerging research clusters, and key themes such as the integration of education technology to enhance teaching and learning approaches. This comprehensive bibliometric analysis provides valuable insights and a holistic understanding for educators, researchers, and policymakers to further advance pedagogical innovations and best practices at the intersection of CT and PBL.