Research Trend of Computational in Phiysics Learning: A Bibliometric Analysis from 2015 to 2024

Authors

  • Riskawati Author
  • Dadi Rusdiana Author
  • Hendra B Author

Keywords:

computational thinking, physics learning, bibliometric analysis

Abstract

The aim of this paper is to present A comprehensive overview of the research trends in computational thinking (CT) for physics education from 2015 to 2024. In order to accomplish this goal, the publication distribution pattern on CT was studied using a bibliometric analyze, which was focused on the following categories: research development, the most productive journals and countries, topic network, and thematic evolution map. Using the VOSviewer program and the Bibliometrix analysis program from R, 345 articles that were retrieved from the Scopus database were examined and presented. The result shows that CT has been significant growth on this topic since 2021. In terms of overall publishing in CT, the United States ranks tops of all nations, with Education and Information Technologies contributing as the most productive journal. The source that is most frequently cited is the essay "computational thinking”. Moreover, the frequent topics network with CT are the integration of CT with science education, and education computing. The theme evolution map provides additional analysis of this result, suggesting the strong future development prospects of CT research in science education, including physics. CT in science education, including physics learning, constantly developed around 2021.

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Published

2025-03-31