The Dynamics of Growth Mindset Research in Indonesia: A Bibliometric Analysis

• Ma'rifatin Indah Kholili

  Indonesia University of Education

  Author

• Nandang Rusmana

  Indonesia University of Education

  Author

• Ahman Ahman

  Indonesia University of Education

  Author

• Nandang Budiman

  Indonesia University of Education

  Author

• M Solehuddin

  Indonesia University of Education

  Author

The concept of a growth mindset has become a subject of ongoing research in various countries. This study aims to identify developments, describe trends in Growth Mindset research topics and variables, and analyze the shift in methodological focus in Growth Mindset research in Indonesia in the last 6 years. The research design used bibliometrics on 100 articles published in Sinta 1-6 accredited journals. Data collection was conducted using documentation studies in the Sinta search engine. Data analysis was conducted using quantitative, descriptive, and bibliometric methods, aided by the VOSViewer application. The results show a consistent increase in GM publications between 2020 and 2025. Methodologically, there has been a shift from simple quantitative dominance (descriptive/correlation) in the early stages to more complex and integrated methods at the contemporary stage (2024–2025), such as Systematic Literature Reviews, Bibliometrics, Mixed Methods, and Research and Development. The subject of the study has also expanded drastically, no longer limited to students and college students, but includes school counselors, small business employees, nurses, and fishermen. Key findings indicate that GM has a relationship with Academic concepts (Early Stage: 2020–2021) and progresses to Psychological Concepts and Career Applications (Transition Stage: 2022–2023), ultimately leading to Futuristic and Contemporary Variables (Contemporary Stage: 2024–2025). Further research is recommended to test the effectiveness of GM interventions by applying Mixed-Methods or Research and Development (R&D) research methods to address specific gaps. Researchers also need to associate GM with contemporary issues such as VUCA, digitalization, or well-being.

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