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<p>With the rapid advancement of information technology, the integration of digital twin technology into the higher education management framework has emerged as a critical challenge. This paper introduces an innovative mechanism leveraging digital twin technology to address key issues in higher education management. The mechanism incorporates a novel evaluation method that utilizes the benefits of fuzzy comprehensive evaluation over gray clustering to design the steps for fuzzy gray clustering. Subsequently, this study has successfully developed a higher education management evaluation model. M school has been chosen as the empirical study site to test the model concurrently. The findings indicate that in assessing the quality of higher education management, the distribution of weights across four primary indicators are as follows: evaluation and feedback (25.853%), teaching organization and design (25.125%), teaching content (24.873%), and teaching ability (24.149%). Notably, teaching organization, design, evaluation, and feedback collectively account for over 50% of the overall weights. Moreover, the implementation of digital twin technology resulted in a significant alteration in 70% of participant grades, with an observed increase in the proportions of A and B grades and a decrease in C and D grades.</p>
</abstract>

With the rapid advancement of information technology, the integration of digital twin technology into the higher education management framework has emerged as a critical challenge. This paper introduces an innovative mechanism leveraging digital twin technology to address key issues in higher education management. The mechanism incorporates a novel evaluation method that utilizes the benefits of fuzzy comprehensive evaluation over gray clustering to design the steps for fuzzy gray clustering. Subsequently, this study has successfully developed a higher education management evaluation model. M school has been chosen as the empirical study site to test the model concurrently. The findings indicate that in assessing the quality of higher education management, the distribution of weights across four primary indicators are as follows: evaluation and feedback (25.853%), teaching organization and design (25.125%), teaching content (24.873%), and teaching ability (24.149%). Notably, teaching organization, design, evaluation, and feedback collectively account for over 50% of the overall weights. Moreover, the implementation of digital twin technology resulted in a significant alteration in 70% of participant grades, with an observed increase in the proportions of A and B grades and a decrease in C and D grades.

Digital Twin Technology Drives Innovation in Higher Education Management Mechanisms

Applied Mathematics and Nonlinear Sciences

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

With the rapid advancement of information technology, the integration of digital twin technology into the higher education management framework has emerged as...

Digital Twin Technology Drives Innovation in Higher Education Management Mechanisms

Online veröffentlicht: 30. Mai 2024

Seitenbereich: -

Eingereicht: 15. Feb. 2024

Akzeptiert: 30. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-1266

Schlüsselwörter
Digital twin, Fuzzy evaluation, Gray clustering, Educational management

© 2024 Xiping Long, published by Sciendo

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

Digital Twin Technology Drives Innovation in Higher Education Management Mechanisms

Online veröffentlicht: 30. Mai 2024

Seitenbereich: -

Eingereicht: 15. Feb. 2024

Akzeptiert: 30. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-1266

SchlüsselwörterDigital twin, Fuzzy evaluation, Gray clustering, Educational management

© 2024 Xiping Long, published by Sciendo

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

Schlüsselwörter
Digital twin, Fuzzy evaluation, Gray clustering, Educational management