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<p>The insufficiency of the training mechanism for the construction of “double-qualified” teachers in higher vocational colleges and universities restricts the high-quality development of higher vocational education in the future. This paper takes the four dimensions of digital cultivation of teachers in higher vocational colleges as the entry point, constructs a four-dimensional co-creation cultivation model of higher vocational teachers based on the UMU digital platform, and designs the cultivation process and evaluation scale of “double-qualified” teachers based on this model. Using the convenience of the digital platform, a convolutional neural network is combined with the probability matrix distribution to establish the CUPMF model to realize the personalized recommendation of digital teaching resources for higher vocational teachers. This paper uses example verification to validate the effectiveness of the four-dimensional co-creation cultivation model proposed in this paper based on teachers’ classroom performance and work evaluation. The results show that the NDCG scores of the CUPMF model range from 0.7 to 0.9, the classroom performance shows a significant difference at the 1% level before and after the development of the training model, and the content scores of the teachers’ works increase by 1.129 points, and the correlation coefficients of the dimensions and the teachers’ level of digital application are all more than 0.6. The “double-qualified” higher vocational colleges and universities in the field of industry-education fusion The digital cultivation of “double-qualified” teacher team should rely on the digital platform, establish a four-dimensional co-creation cultivation model, and provide a solid foundation for promoting the digitalization level of higher vocational teachers.</p>
</abstract>

The insufficiency of the training mechanism for the construction of “double-qualified” teachers in higher vocational colleges and universities restricts the high-quality development of higher vocational education in the future. This paper takes the four dimensions of digital cultivation of teachers in higher vocational colleges as the entry point, constructs a four-dimensional co-creation cultivation model of higher vocational teachers based on the UMU digital platform, and designs the cultivation process and evaluation scale of “double-qualified” teachers based on this model. Using the convenience of the digital platform, a convolutional neural network is combined with the probability matrix distribution to establish the CUPMF model to realize the personalized recommendation of digital teaching resources for higher vocational teachers. This paper uses example verification to validate the effectiveness of the four-dimensional co-creation cultivation model proposed in this paper based on teachers’ classroom performance and work evaluation. The results show that the NDCG scores of the CUPMF model range from 0.7 to 0.9, the classroom performance shows a significant difference at the 1% level before and after the development of the training model, and the content scores of the teachers’ works increase by 1.129 points, and the correlation coefficients of the dimensions and the teachers’ level of digital application are all more than 0.6. The “double-qualified” higher vocational colleges and universities in the field of industry-education fusion The digital cultivation of “double-qualified” teacher team should rely on the digital platform, establish a four-dimensional co-creation cultivation model, and provide a solid foundation for promoting the digitalization level of higher vocational teachers.

Research on the digital cultivation form of “double-qualified” teachers team in higher vocational colleges and universities under the perspective of industry-teaching integration

Nanjing Vocational University of Industry Technology

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

The insufficiency of the training mechanism for the construction of “double-qualified” teachers in higher vocational colleges and universities restricts the...

Research on the digital cultivation form of “double-qualified” teachers team in higher vocational colleges and universities under the perspective of industry-teaching integration

Online veröffentlicht: 31. Jan. 2024

Seitenbereich: -

Eingereicht: 18. Dez. 2023

Akzeptiert: 27. Dez. 2023

DOI: https://doi.org/10.2478/amns-2024-0147

Schlüsselwörter
Convolutional neural network, Probability matrix distribution, CUPMF model, Digitalization, Teacher training

© 2024 Jingjing Dai, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on the digital cultivation form of “double-qualified” teachers team in higher vocational colleges and universities under the perspective of industry-teaching integration

Online veröffentlicht: 31. Jan. 2024

Seitenbereich: -

Eingereicht: 18. Dez. 2023

Akzeptiert: 27. Dez. 2023

DOI: https://doi.org/10.2478/amns-2024-0147

SchlüsselwörterConvolutional neural network, Probability matrix distribution, CUPMF model, Digitalization, Teacher training

© 2024 Jingjing Dai, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Convolutional neural network, Probability matrix distribution, CUPMF model, Digitalization, Teacher training