<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In the context of China’s ongoing educational reform and the increasing diversity of employment options for college students, there is a growing emphasis on the practical skills of undergraduates. This study focuses on the development of these competencies, selecting a sample of 816 students from five universities to explore the requirements currently placed on Chinese college students. Utilizing factor analysis and ANOVA, we constructed a scale to assess the hands-on abilities of college students, as well as a scale for the influencing factors. The study was conducted using SPSS multiple linear regression to examine the correlations between the identified factors. The Hands-on Ability Scale consists of four primary indicators and 15 secondary indicators. Additionally, the analysis revealed that the influencing factors account for varying degrees of impact on key competencies: 23.4% on self-management ability, 13.3% on teamwork ability, 39.8% on innovation ability, and 25.5% on problem-solving ability. This study underscores the critical need for integrating practical skills training in the curriculum to better prepare students for the challenges of modern employment landscapes.</p>
</abstract>

In the context of China’s ongoing educational reform and the increasing diversity of employment options for college students, there is a growing emphasis on the practical skills of undergraduates. This study focuses on the development of these competencies, selecting a sample of 816 students from five universities to explore the requirements currently placed on Chinese college students. Utilizing factor analysis and ANOVA, we constructed a scale to assess the hands-on abilities of college students, as well as a scale for the influencing factors. The study was conducted using SPSS multiple linear regression to examine the correlations between the identified factors. The Hands-on Ability Scale consists of four primary indicators and 15 secondary indicators. Additionally, the analysis revealed that the influencing factors account for varying degrees of impact on key competencies: 23.4% on self-management ability, 13.3% on teamwork ability, 39.8% on innovation ability, and 25.5% on problem-solving ability. This study underscores the critical need for integrating practical skills training in the curriculum to better prepare students for the challenges of modern employment landscapes.

Innovative Development Path of Hands-on Ability Cultivation for College Students Combined with SPSS Statistical Analysis Modeling Based on Innovation and Entrepreneurship Education Orientation

Applied Mathematics and Nonlinear Sciences

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

In the context of China’s ongoing educational reform and the increasing diversity of employment options for college students, there is a growing emphasis on...

Innovative Development Path of Hands-on Ability Cultivation for College Students Combined with SPSS Statistical Analysis Modeling Based on Innovation and Entrepreneurship Education Orientation

Online veröffentlicht: 03. Juni 2024

Seitenbereich: -

Eingereicht: 14. Feb. 2024

Akzeptiert: 27. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-1321

Schlüsselwörter
Spss, Factor analysis, Multiple linear regression, Analysis of variance, College students’ hands-on skills

© 2024 Xiaomeng Qi, et al., published by Sciendo

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

Innovative Development Path of Hands-on Ability Cultivation for College Students Combined with SPSS Statistical Analysis Modeling Based on Innovation and Entrepreneurship Education Orientation

Online veröffentlicht: 03. Juni 2024

Seitenbereich: -

Eingereicht: 14. Feb. 2024

Akzeptiert: 27. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-1321

SchlüsselwörterSpss, Factor analysis, Multiple linear regression, Analysis of variance, College students’ hands-on skills

© 2024 Xiaomeng Qi, et al., published by Sciendo

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

Schlüsselwörter
Spss, Factor analysis, Multiple linear regression, Analysis of variance, College students’ hands-on skills