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

<p>“Lifelong learning” is the proper meaning of education in the new era, and talent cultivation is an important part of higher education. This paper addresses the shortcomings of the current talent cultivation model and proposes a new model for talent cultivation. It also examines the fitting and convergence validity of the new model through factor analysis. Multiple linear regression is employed to examine the correlation between the four indicators and compute the regression coefficients to create the regression equation. The analysis revealed that the RV values of all dimensions exceeded 0.7 and the AVEs exceeded 0.5, indicating that the cultivation model was convergently valid. The regression coefficients of the four variables, namely implementation approach, cultivation goal, result feedback, and normative requirements, are 0.984, 0.978, 0.415, and 0.218, respectively, indicating that there is a linear relationship between the indicators of the proposed talent cultivation model and that the model represents the reality of talent cultivation more accurately.</p>
</abstract>

“Lifelong learning” is the proper meaning of education in the new era, and talent cultivation is an important part of higher education. This paper addresses the shortcomings of the current talent cultivation model and proposes a new model for talent cultivation. It also examines the fitting and convergence validity of the new model through factor analysis. Multiple linear regression is employed to examine the correlation between the four indicators and compute the regression coefficients to create the regression equation. The analysis revealed that the RV values of all dimensions exceeded 0.7 and the AVEs exceeded 0.5, indicating that the cultivation model was convergently valid. The regression coefficients of the four variables, namely implementation approach, cultivation goal, result feedback, and normative requirements, are 0.984, 0.978, 0.415, and 0.218, respectively, indicating that there is a linear relationship between the indicators of the proposed talent cultivation model and that the model represents the reality of talent cultivation more accurately.

Research on Talent Cultivation Mode of Higher Education in the Context of Digital Era

Applied Mathematics and Nonlinear Sciences

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

“Lifelong learning” is the proper meaning of education in the new era, and talent cultivation is an important part of higher education. This paper addresses...

Research on Talent Cultivation Mode of Higher Education in the Context of Digital Era

Online veröffentlicht: 05. Aug. 2024

Seitenbereich: -

Eingereicht: 14. Apr. 2024

Akzeptiert: 29. Juni 2024

DOI: https://doi.org/10.2478/amns-2024-2118

Schlüsselwörter
Factor analysis, Multiple linear regression, Talent development, Higher education

© 2024 Fanli Meng, published by Sciendo

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

Research on Talent Cultivation Mode of Higher Education in the Context of Digital Era

Online veröffentlicht: 05. Aug. 2024

Seitenbereich: -

Eingereicht: 14. Apr. 2024

Akzeptiert: 29. Juni 2024

DOI: https://doi.org/10.2478/amns-2024-2118

SchlüsselwörterFactor analysis, Multiple linear regression, Talent development, Higher education

© 2024 Fanli Meng, published by Sciendo

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

Schlüsselwörter
Factor analysis, Multiple linear regression, Talent development, Higher education