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ZENODO
Article . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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A Conceptual Teacher Digital Competence Model for Vocational Education

Authors: Alisher Jumanov; Guloyim Rakhimboyeva;

A Conceptual Teacher Digital Competence Model for Vocational Education

Abstract

The success of digital transformation in vocational education largely depends on teachers’ digital competenceand is not limited solely to the availability of technological resources. Many vocational education institutions employ digitaltools without ensuring that teachers possess the pedagogical, technological, and methodological skills required for theireffective use. This article proposes a digital competence model for teachers specifically designed for vocational education.The study is based on a theoretical and methodological analysis of digital competence frameworks, pedagogicaltheories, and vocational education practice. The proposed model consists of four interrelated dimensions: technologicalcompetence, pedagogical competence, digital content design competence, and assessment and feedback competence.The results demonstrate that the developed competence model supports the meaningful integration of digital tools intovocational education and contributes to improving teaching quality. The article concludes that teachers’ digital competencerepresents a central element of digitalization in vocational education

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green