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

<p>The swift growth of the Internet era, fueled by new media technology, has led to transformative changes across various industries through modern network information. This paper presents a comprehensive model of psychological health instruction for college students, integrating new media technology and peer education principles to address the nuances of their psychological development. Additionally, it introduces an index to assess the effects of educational reforms on mental health instruction and applies regression analysis and factor analysis to identify key influencing factors. The state of psychological health education is evaluated using a fuzzy assessment method. In this comparative study on psychological instruction methods, the score for psychological health instruction reached 4.43, marking a 0.46 increase from the traditional educational approach. Empirical analysis reveals that the instructional effectiveness index for mental wellness instruction accumulates a participation value of 93.693%. This research has the potential to advance the psychological health of university students, enhance the overall impact of psychological health education, and offer useful insights into the evolution and reform of the mode of psychological health instruction for university students.</p>
</abstract>

The swift growth of the Internet era, fueled by new media technology, has led to transformative changes across various industries through modern network information. This paper presents a comprehensive model of psychological health instruction for college students, integrating new media technology and peer education principles to address the nuances of their psychological development. Additionally, it introduces an index to assess the effects of educational reforms on mental health instruction and applies regression analysis and factor analysis to identify key influencing factors. The state of psychological health education is evaluated using a fuzzy assessment method. In this comparative study on psychological instruction methods, the score for psychological health instruction reached 4.43, marking a 0.46 increase from the traditional educational approach. Empirical analysis reveals that the instructional effectiveness index for mental wellness instruction accumulates a participation value of 93.693%. This research has the potential to advance the psychological health of university students, enhance the overall impact of psychological health education, and offer useful insights into the evolution and reform of the mode of psychological health instruction for university students.

The Construction of Teaching Reform Mode of University students’ Psychological health instruction Course under the Perspective of New Media

Applied Mathematics and Nonlinear Sciences

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

The swift growth of the Internet era, fueled by new media technology, has led to transformative changes across various industries through modern network...

The Construction of Teaching Reform Mode of University students’ Psychological health instruction Course under the Perspective of New Media

Publié en ligne: 22 mai 2024

Pages: -

Reçu: 06 févr. 2024

Accepté: 12 avr. 2024

DOI: https://doi.org/10.2478/amns-2024-1136

Mots clés
Factor analysis, Regression model, Fuzzy synthesis, Evaluation model, Education reform

© 2024 Yanhua Wang, published by Sciendo

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

The Construction of Teaching Reform Mode of University students’ Psychological health instruction Course under the Perspective of New Media

Publié en ligne: 22 mai 2024

Pages: -

Reçu: 06 févr. 2024

Accepté: 12 avr. 2024

DOI: https://doi.org/10.2478/amns-2024-1136

Mots clésFactor analysis, Regression model, Fuzzy synthesis, Evaluation model, Education reform

© 2024 Yanhua Wang, published by Sciendo

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

Mots clés
Factor analysis, Regression model, Fuzzy synthesis, Evaluation model, Education reform