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Fig 1.

Theoretical model of digital competency framework for Chinese TVET teachers.

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Fig 1 Expand

Fig 2.

Sample acquisition process.

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Fig 3.

Sample data of provinces.

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Fig 4.

Chinese TVET majors included in the sample.

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Table 1.

The basic information table of the subject teacher.

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Table 1 Expand

Table 2.

Competency domains and descriptions for vocational college teachers.

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Table 2 Expand

Table 3.

The questionnaire employs a Likert six-point scale, where the average score across all elements represents the digital competence level of the surveyed teachers.

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Table 3 Expand

Table 4.

Internal consistency reliability test (N = 2514).

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Table 5.

Summary of KMO and bartlett’s sphericity analysis results.

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Table 6.

Confirmatory factor analysis valuescommon indicators.

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Table 7.

Basic overview of TVET teachers’ digital competence.

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Fig 5.

Scores of various indicators of digital competence for TVET teachers.

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Fig 6.

Scores of digital competence for TVET teachers in the Eastern and Western regions.

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Table 8.

Results of correlation analysis between internal and external factors and TVET teachers’ digital competence.

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Table 9.

Differential analysis of teachers’ educational background and digital competence levels.

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Table 9 Expand

Table 10.

Differential analysis of digital competence total scores based on the type of employing institution for teachers.

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Table 11.

Differential analysis of dual-qualified teachers and digital competence total scores.

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Table 12.

Differential analysis of teacher’s years of work experience and digital competence total scores.

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Table 13.

Differential analysis of teacher’s professional title type and digital competence total scores.

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Fig 7.

Comparative chart of digital competence improvement among TVET teachers participating in different types of digital training.

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Fig 7 Expand

Table 14.

Differential analysis of external factors and digital competence total scores of teachers.

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