Bibliometric Analysis of Computational Thinking Research in Vocational Education: Trends and Key Findings
Bibliometric Analysis of Computational Thinking Research in Vocational Education: Trends and Key Findings

Summary/Abstract: Computational Thinking (CT) has become an essential skill in Vocational Education (VE) to deal with the digitalized industrial world. This study aims to analyze the trend of CT research in VE using bibliometrics based on Scopus data (2014–2024). This study was carried out through the stages of keyword determination, data collection, processing, mapping, and publication data analysis. The results show a significant increase in CT studies since 2019, driven by the integration of the Internet of Things, Artificial Intelligence, and industrial automation in the VE curriculum. Bibliometric mapping identified 21 key terms in 5 clusters, with CT, educational robotics, Science Technology Engineering and Mathematics (STEM) education, and abstraction as the dominant concepts. This finding confirms that CT plays a strategic role in improving problem-solving skills and graduates’ readiness to face the industrial revolution 4.0 and the society 5.0 era. This study aims to design learning modules that focus on CT, incorporate robotics and AI-based learning tools, and promote an interdisciplinary approach to digital skills development. For future research, further exploration is needed on the effectiveness of CT-based learning methods in VE, and the impact of CT on graduates’ employability.

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