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<p>The rapid development of the new round of science and technology and the industrial revolution has put forward higher requirements on the quality of higher vocational students, especially the cultivation of interdisciplinary innovation ability. The study adopts statistical methods such as hierarchical regression analysis, chi-square test and gray correlation analysis, combined with questionnaire survey and empirical research, to deeply analyze the influencing factors of interdisciplinary innovation ability of higher vocational students. The evaluation system of innovation ability, which contained 4 first-level indicators and 12 second-level indicators, was tested, and SPSS software was utilized to process and analyze the data. The results show that there are significant differences in the critical thinking ability and knowledge integration ability of higher vocational students, with a mean difference value of 0.07191, a t-value of 7.4264, and a significance test of p=0.037&lt;.05. The interdisciplinary task-driven-class has a more than 7 point advantage over the control class in terms of both the mean score and the innovative score. The results of the study provide strategies and methods for the cultivation of interdisciplinary, creative ability in higher vocational colleges and universities, which are of great practical significance for promoting the comprehensive development of higher vocational students and adapting to the industrial demands of the new era.</p>
</abstract>

The rapid development of the new round of science and technology and the industrial revolution has put forward higher requirements on the quality of higher vocational students, especially the cultivation of interdisciplinary innovation ability. The study adopts statistical methods such as hierarchical regression analysis, chi-square test and gray correlation analysis, combined with questionnaire survey and empirical research, to deeply analyze the influencing factors of interdisciplinary innovation ability of higher vocational students. The evaluation system of innovation ability, which contained 4 first-level indicators and 12 second-level indicators, was tested, and SPSS software was utilized to process and analyze the data. The results show that there are significant differences in the critical thinking ability and knowledge integration ability of higher vocational students, with a mean difference value of 0.07191, a t-value of 7.4264, and a significance test of p=0.037<.05. The interdisciplinary task-driven-class has a more than 7 point advantage over the control class in terms of both the mean score and the innovative score. The results of the study provide strategies and methods for the cultivation of interdisciplinary, creative ability in higher vocational colleges and universities, which are of great practical significance for promoting the comprehensive development of higher vocational students and adapting to the industrial demands of the new era.

Research on the Cultivation of Interdisciplinary Innovation Ability of Students in Higher Vocational Colleges and Universities

Applied Mathematics and Nonlinear Sciences

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

The rapid development of the new round of science and technology and the industrial revolution has put forward higher requirements on the quality of higher...

Research on the Cultivation of Interdisciplinary Innovation Ability of Students in Higher Vocational Colleges and Universities

Online veröffentlicht: 03. Juni 2024

Seitenbereich: -

Eingereicht: 12. Feb. 2024

Akzeptiert: 21. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-1303

Schlüsselwörter
Stratified regression analysis, Chi-square test, Gray correlation, SPSS data analysis, Interdisciplinary innovation ability

© 2024 Mei Wang, published by Sciendo

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

Research on the Cultivation of Interdisciplinary Innovation Ability of Students in Higher Vocational Colleges and Universities

Online veröffentlicht: 03. Juni 2024

Seitenbereich: -

Eingereicht: 12. Feb. 2024

Akzeptiert: 21. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-1303

SchlüsselwörterStratified regression analysis, Chi-square test, Gray correlation, SPSS data analysis, Interdisciplinary innovation ability

© 2024 Mei Wang, published by Sciendo

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

Schlüsselwörter
Stratified regression analysis, Chi-square test, Gray correlation, SPSS data analysis, Interdisciplinary innovation ability