Trends, Scientific Productivity, And New Themes In Digital Literacy Training For Vocational Teachers: A Bibliometric Analysis

  • Toni Kurrokhmat Pendidikan Teknologi dan Kejuruan, Universitas Pendidikan Indonesia, Indonesia
  • Dedi Rohendi Pendidikan Teknologi dan Kejuruan, Universitas Pendidikan Indonesia, Indonesia
  • Mumu Komaro Pendidikan Teknologi dan Kejuruan, Universitas Pendidikan Indonesia, Indonesia
Keywords: digital literacy; teacher training; vocational education; bibliometric analysis; VOSviewer

Abstract

for 21st-century learning demands, yet most globally available digital competence frameworks for teachers are designed for general education rather than technical and vocational education and training (TVET) specifically. This study aims to map the trends, productivity, thematic structure, and research gaps in the scientific literature on digital literacy within the context of vocational teacher training, serving as a preliminary study for a subsequent empirical training-needs analysis. Data were collected from the Scopus database in February 2026 using a combination of three keyword clusters (digital literacy/competence, training, and vocational teachers/education), limited to journal articles and conference proceedings published between 2023 and 2025, yielding 216 documents. The data were analyzed using VOSviewer through co-authorship analysis (author, organization, country), keyword co-occurrence analysis (network, overlay, density), and co-citation analysis. The results show that the number of publications increased sharply from 22 documents (2023) to 125 documents (2025), yet scientific collaboration patterns at the author, institutional, and country levels remain highly fragmented. Keyword analysis reveals that themes related to teacher training and digital competence form a considerably smaller and less dense cluster compared to themes related to vocational student learning, despite the availability of an established conceptual framework such as DigCompEdu. These findings indicate a clear research gap in empirical studies on the digital literacy training needs of vocational teachers, providing the foundation for further research based on a competency discrepancy analysis.

References

Baas, J., Schotten, M., Plume, A., Côté, G., & Karimi, R. (2020). Scopus as a curated, high-quality bibliometric data source for academic research in quantitative science studies. Quantitative Science Studies, 1(1), 377–386. https://doi.org/https://doi.org/10.1162/qss_a_00019
Benke, M., & Rachwał, T. (2022). The evolution of vocational education and training in Hungary and Poland 1989–2035. Hungarian Educational Research Journal, 12(3), 328–356. https://doi.org/10.1556/063.2022.00061
Borich, Gary D. (1980). A Needs Assessment Model for Conducting Follow-Up Studies. Journal of Teacher Education, 31(3), 39–42. https://doi.org/10.1177/002248718003100310
Bornmann, L., & Mutz, R. (2014). Growth rates of modern science : A bibliometric analysis based on the number of publications and cited references. Journal of the Association for Information Science and Technology, 11(66), 1–28. https://doi.org/10.1002/asi.23329
Bradford, S. C. (1985). Sources of information on specific subjects 1934. Journal of Information Science, 10(4), 176–180. https://doi.org/10.1177/016555158501000407
Centre, J. R., & Commission, E. (2022). DigComp 2.2: The digital competence framework for citizens—with new examples of knowledge, skills and attitudes (JRC128415). Publication Office of the European Union.
Chen, G. (2024). Construction and Improvement Path of Digital Literacy Evaluation Model for Higher Vocational Teachers Based on Deep Learning and Soft Computing. 20(1), 1–15. https://doi.org/10.4018/IJeC.347506
de Solla Price, D. J. (1963). Little Science, Big Science. Columbia University Press. https://books.google.co.id/books?id=MWQPAQAAMAAJ
Delecroix, B., & Eppstein, R. (2004). Co-Word Analysis For The Non-Scientific Information Example Of Reuters Business Briefings Co-Word Analysis. 3(June), 80–87.
Deschênes, M., & Dionne, L. (2024). Supporting digital competency development for vocational education student teachers in distance education. October, 1–12. https://doi.org/10.3389/feduc.2024.1452445
Diao, J., & Qu, Y. (2024). Teaching Competence of TVET Teachers in the Digital Age: Implementation and Evaluation of a Training Program in China. Evaluation and Program Planning, 103, 102402. https://doi.org/10.1016/j.evalprogplan.2024.102402
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133. https://doi.org/10.1016/j.jbusres.2021.04.070
El Majjaoui, A., El Haddadi, A., Bahri, A., El Haddadi, O., Bouhafer, F., & Ouald Chaib, S. (2026). Auditable bibliometric analysis: a generic data pipeline for research evaluation. Journal of Informetrics, 20(2), 101808. https://doi.org/https://doi.org/10.1016/j.joi.2026.101808
Fathurochman, A. (2025). Teachers ’ Digital Skills Research Trends : A Scopus Bibliometric. 8(3), 1321–1340.
Glänzel, W. (1995). NATIONAL CHARACTERISTICS IN INTERNATIONAL SCIENTIFIC CO-AUTHORSHIP RELATIONS.
Hwang, K. (2012). Effects of the Language Barrier on Processes and Performance of International Scientific Collaboration, Collaborators’ Participation, Organizational Integrity, and Interorganizational Relationships. Science Communication, 35, 3–31. https://doi.org/10.1177/1075547012437442
Jan, N., & Ludo, V. E. (2010). Software survey : VOSviewer , a computer program for bibliometric mapping. 523–538. https://doi.org/10.1007/s11192-009-0146-3
Kuznietsov, Y., & Dobroskok, I. (2026). Integration of innovative tools into practical training of future vocational education teachers: A conceptual and empirical study. Methodological Innovations. https://doi.org/10.1177/20597991261470885
Liu, C., & Xu, Y. (2025). A visual analysis of the research literature on teachers ’ digital. June, 1–14. https://doi.org/10.3389/feduc.2025.1597121
Lotka, A. J. . (1926). The frequency distribution of scientific productivity. Journal of the Washington Academy of Sciences, 16(12), 317–323.
Redecker C., P. Y. (2017). European framework for the digital competence of educators: DigCompEdu. Luxembourg: In Publications Office of the European Union.
Sauanova, K., Bidakhmet, Z., Omarova, G., Sagyndykova, S., & Vorogushina, M. (2026). Conceptual Boundaries and Terminological Variability in Scopus-Indexed Teacher Digital Competence Research : A Bibliometric Analysis. 1–18.
Trilling, B., & Fadel, C. (2009). 21st Century Skills: Learning for Life in Our Times. Wiley. https://books.google.co.id/books?id=VUrAvc8OB1YC
UNESCO-UNEVOC. (2021). Digital competence frameworks for teachers, learners and citizens: An Overview of UNESCO-UNEVOC’s Digital Competence Framework Database. UNESCO-UNEVOC.
UNESCO. (2022). The ICT Competency Framework for Teachers Harnessing OER Project Digital Skills Development for Teachers.
Xin, Y., Id, Y. T., & Id, X. M. (2024). An empirical study on the evaluation and influencing factors of digital competence of Chinese teachers for TVET. 1–29. https://doi.org/10.1371/journal.pone.0310187
Yang, X., & Wu, W. (2024). Advancing digital transformation in TVET through international cooperation : Approaches by the UNESCO Chair on Digitalization in TVET. 1(11), 1–14
Published
2026-09-25
How to Cite
Kurrokhmat, T., Rohendi, D., & Komaro, M. (2026). Trends, Scientific Productivity, And New Themes In Digital Literacy Training For Vocational Teachers: A Bibliometric Analysis . International Journal of Education, Vocational and Social Science , 5(04), 1853-1876. https://doi.org/10.63922/ijevss.v5i04.6667