The model of transformational leadership of teachers in higher vocational colleges in Heilongjiang province

Effective leadership is pivotal in enhancing the quality and performance of educational institutions. The fast-paced development of industries, coupled with the need for skilled talent in Heilongjiang Province, necessitates the Transformational leadership model to ensure vocational colleges remain relevant and competitive. This study develops a transformational leadership model for teachers in higher vocational colleges in Heilongjiang Province of China, employing a mixed-methods approach to explore key leadership dimensions. We collected data from 504 survey respondents and 9 semi-structured interviews. Confirmatory factor analysis confirmed the model’s structural validity (CFI=0.965, RMSEA=0.041), while structural equation modeling supported all six hypotheses with significant path coefficients ranging from 0.72 to 0.80 (p<0.001). The second-order CFA further validated the framework, with path coefficients from 0.8333 to 0.9144, integrating Visionary Motivation, Individualized Consideration, Intellectual Stimulation, Industry-Education Collaboration Competency (IECC, β=0.72), Teaching Innovation Capability (TIC, β=0.79), and Teacher Professional Development (TPD, β=0.77). IECC and TIC emerged as critical dimensions, reflecting Heilongjiang’s need for industry-aligned teaching and digital innovation. This study advances transformational leadership theory by incorporating dimensions tailored to Heilongjiang’s vocational education context, addressing the region’s need for industry-aligned teaching.

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Publication Details

Journal
Edelweiss Applied Science and Technology
Published
2025-07-18
DOI
https://doi.org/10.55214/25768484.v9i7.8942
Primary Topic
Education and Work Dynamics
Type
article
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article

The model of transformational leadership of teachers in higher vocational colleges in Heilongjiang province

Yingzi Xu, Nuntiya Noichun
Edelweiss Applied Science and Technology
Education and Work Dynamics
article

The model of transformational leadership of teachers in higher vocational colleges in Heilongjiang province

Yingzi Xu, Nuntiya Noichun
article en

Abstract

Effective leadership is pivotal in enhancing the quality and performance of educational institutions. The fast-paced development of industries, coupled with the need for skilled talent in Heilongjiang Province, necessitates the Transformational leadership model to ensure vocational colleges remain relevant and competitive. This study develops a transformational leadership model for teachers in higher vocational colleges in Heilongjiang Province of China, employing a mixed-methods approach to explore key leadership dimensions. We collected data from 504 survey respondents and 9 semi-structured interviews. Confirmatory factor analysis confirmed the model’s structural validity (CFI=0.965, RMSEA=0.041), while structural equation modeling supported all six hypotheses with significant path coefficients ranging from 0.72 to 0.80 (p<0.001). The second-order CFA further validated the framework, with path coefficients from 0.8333 to 0.9144, integrating Visionary Motivation, Individualized Consideration, Intellectual Stimulation, Industry-Education Collaboration Competency (IECC, β=0.72), Teaching Innovation Capability (TIC, β=0.79), and Teacher Professional Development (TPD, β=0.77). IECC and TIC emerged as critical dimensions, reflecting Heilongjiang’s need for industry-aligned teaching and digital innovation. This study advances transformational leadership theory by incorporating dimensions tailored to Heilongjiang’s vocational education context, addressing the region’s need for industry-aligned teaching.

Edelweiss Applied Science and TechnologyVol. 9(7)
Suan Sunandha Rajabhat University (TH)
Industry, innovation and infrastructure
Openalex Percentile: Top 65%
Education and Work Dynamics
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The model of transformational leadership of teachers in higher vocational colleges in Heilongjiang province — Yingzi Xu, Nuntiya Noichun · Edelweiss Applied Science and Technology (2025) | TGRS Research Map | TGRS