Article Gold Open Access 2026

Thematic mapping of competence-based education and training research through direct citation network analysis and topic modelling with latent semantic analysis

Education and Training
Journal · Vol. 68 · Issue 10 · pp. 1-16
Abstract

Purpose – The purpose of this study is to provide researchers, policymakers and practitioners with a state-of-the-art snapshot of the competence-based education and training (CBET) research domain by identifying its main research streams, as well as its dominant and under-explored research areas. Design/methodology/approach – We employed direct citation network analysis to examine the intellectual structure of CBET research and identify its main research streams across 1, 090 journal articles. To further explore the themes within these streams, we applied topic modelling with latent semantic analysis. Findings – CBET is a fragmented research domain, based on the citation relationships among articles and the diversity of journals in which they have been published. Its core consisted of 231 articles, from which three main research streams emerged: the Higher Education Stream, the Vocational and Professional Education Stream, and the General Education Stream. We present six dominant topics covered by the research streams and highlight the need for future studies that transcend educational levels. Originality/value – We employ novel methods to provide researchers, policymakers and practitioners with the first topical overview of CBET research. © 2025 Joonas Mannonen, Felipe Urrutia, Raija Hämäläinen, Roberto Araya, Sami Lehesvuori and Danial Hooshyar

Keywords

Author Keywords

Competence-based education Competence-based training Key competences Latent semantic analysis Topic modelling

Index Keywords

Author Affiliations
University of Jyväskylä, Jyvaskyla, Central Finland, Finland
Center for Advanced Research in Education, Universidad de Chile, Santiago, RM, Chile
Department of Education, University of Jyväskylä, Jyvaskyla, Central Finland, Finland
School of Digital Technologies, Tallinn University, Tallinn, Harjumaa, Estonia, Faculty of Education and Psychology, University of Jyväskylä, Jyvaskyla, Central Finland, Finland, Faculty of Information Technology, University of Jyväskylä, Jyvaskyla, Central Finland, Finland
Funding & Acknowledgements
Research Council of Finland, AKA
Grant: 353325 372920, 372920, 353325
ANID/PIA/Basal Funds for Centers of Excellence, AFB240004. ANID Exploraci\u00F3n, 13240075. Research Council of Finland, 353325 372920. Funding: This research was partly funded by the Research Council of Finland (grant numbers 353325 and 372920), ANID/PIA/Basal Funds for Centers of Excellence AFB240004 and ANID Exploraci\u00F3n 13240075.
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