Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

January 31, 2024


Pages


DOI

Article

Construction and practical research on the model of college students’ psychology education and training based on PBL theory

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Authors

Yingjia Song Affiliation:
Xi’an Kedagaoxin University, Xi’an, Shaanxi, 710100, China.


Abstract

Improving the mental health of young people is an important task in the construction of spiritual civilization in the new era. The main purpose of this paper is to construct a psychology education and training model for college students that is based on PBL theory. Then, the subjective perception of students under this teaching mode was studied through statistical analysis and significance test, and the impact of psychology education on students’ communication ability, self-efficacy and emotion regulation ability was analyzed based on the analysis. Finally, the regression analysis model was used to test the intervention effect of psychology education on students’ psychological crises and explore the influence factors of each dimension of psychology education. The results showed that the standardized regression coefficients of the dimensions of psychology education and the level of students’ mental health were −0.013, −0.155, −0.34, −0.113, and −0.022, respectively, and the significance test result of the regression equation was F=35.757, P<0.05, which indicated that psychology education had a significant effect on students’ mental health. This study holds great significance in enhancing the quality of school education and establishing a comprehensive and diverse psychology curriculum system in schools.


Keywords

Significance test, Regression analysis, Statistical analysis, PBL theory, Psychology education, 97Q70


Citation

Song, Y. (2024). Construction and practical research on the model of college students’ psychology education and training based on PBL theory. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-0167

Published by: Engineering Journals

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