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

<p>This study pioneers a mental health education model for college students, merging cognitive-behavioral theory with artificial intelligence (AI) technology. By employing mathematical statistics to analyze teaching variables, we establish regression equations that elucidate the relationship between cognitive-behavioral based mental health education and its impact on students’ psychological well-being and psychological capital. Our findings highlight the significant mediating roles of cognitive behavioral instruction on positive emotion regulation (0.161), subjective happiness (0.348), sadness and frustration management (0.412), and anger control (0.376), confirming the efficacy of this approach. The application of cognitive behavioral therapy (CBT) in student psychoeducation has shown promising results in improving cognitive abilities, reducing emotional disturbances, and enhancing cognitive functions, offering valuable insights for advancing mental health education in higher education institutions.</p>
</abstract>

This study pioneers a mental health education model for college students, merging cognitive-behavioral theory with artificial intelligence (AI) technology. By employing mathematical statistics to analyze teaching variables, we establish regression equations that elucidate the relationship between cognitive-behavioral based mental health education and its impact on students’ psychological well-being and psychological capital. Our findings highlight the significant mediating roles of cognitive behavioral instruction on positive emotion regulation (0.161), subjective happiness (0.348), sadness and frustration management (0.412), and anger control (0.376), confirming the efficacy of this approach. The application of cognitive behavioral therapy (CBT) in student psychoeducation has shown promising results in improving cognitive abilities, reducing emotional disturbances, and enhancing cognitive functions, offering valuable insights for advancing mental health education in higher education institutions.

Exploring the Teaching Mode of College Students’ Mental Health Education under Artificial Intelligence Technology Guided by Cognitive Behavioral Theory

Applied Mathematics and Nonlinear Sciences

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

This study pioneers a mental health education model for college students, merging cognitive-behavioral theory with artificial intelligence (AI) technology. By...

Exploring the Teaching Mode of College Students’ Mental Health Education under Artificial Intelligence Technology Guided by Cognitive Behavioral Theory

Online veröffentlicht: 03. Mai 2024

Seitenbereich: -

Eingereicht: 03. Apr. 2024

Akzeptiert: 17. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-0897

Schlüsselwörter
Artificial intelligence, Regression analysis, Correlation, Mediation effect, Mental health

© 2024 Xiaoyan You et al., published by Sciendo

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

Exploring the Teaching Mode of College Students’ Mental Health Education under Artificial Intelligence Technology Guided by Cognitive Behavioral Theory

Online veröffentlicht: 03. Mai 2024

Seitenbereich: -

Eingereicht: 03. Apr. 2024

Akzeptiert: 17. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-0897

SchlüsselwörterArtificial intelligence, Regression analysis, Correlation, Mediation effect, Mental health

© 2024 Xiaoyan You et al., published by Sciendo

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

Schlüsselwörter
Artificial intelligence, Regression analysis, Correlation, Mediation effect, Mental health