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

<p>In today’s rapid development of information technology, social media has become an indispensable part of the daily communication of students in colleges and universities. The issue of student mental health is increasingly receiving widespread attention from society. As an essential position for mental health education, how to effectively utilize big data technology for students’ psychological nurturing and enhance the pertinence and effectiveness of mental health education has become an important issue in education. In this article, by creating a four-level psychological parenting model built on a positive psychology perspective, we study extensive data mining, deep learning and other methods to analyze students’ social media usage data and identify students’ mental health status. For the 225 students in this article, the anxiety and depression self-assessment scale scores decreased significantly (P&lt;0.05) after the psychological parenting education intervention, indicating that big data technology enhances the effect of mental health education in colleges and universities. Association rule mining revealed a distinct connection between psychological problems, such as learning pressure and maladaptation, and students’ social media behavior patterns. The application of big data technology in this study helps colleges and universities identify and intervene in students’ mental health problems more accurately, promoting comprehensive development.</p>
</abstract>

In today’s rapid development of information technology, social media has become an indispensable part of the daily communication of students in colleges and universities. The issue of student mental health is increasingly receiving widespread attention from society. As an essential position for mental health education, how to effectively utilize big data technology for students’ psychological nurturing and enhance the pertinence and effectiveness of mental health education has become an important issue in education. In this article, by creating a four-level psychological parenting model built on a positive psychology perspective, we study extensive data mining, deep learning and other methods to analyze students’ social media usage data and identify students’ mental health status. For the 225 students in this article, the anxiety and depression self-assessment scale scores decreased significantly (P<0.05) after the psychological parenting education intervention, indicating that big data technology enhances the effect of mental health education in colleges and universities. Association rule mining revealed a distinct connection between psychological problems, such as learning pressure and maladaptation, and students’ social media behavior patterns. The application of big data technology in this study helps colleges and universities identify and intervene in students’ mental health problems more accurately, promoting comprehensive development.

The Application of Big Data Technology in the Educational Model of Psychological Parenting in Colleges and Universities in the Context of Social Media

Applied Mathematics and Nonlinear Sciences

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

In today’s rapid development of information technology, social media has become an indispensable part of the daily communication of students in colleges and...

The Application of Big Data Technology in the Educational Model of Psychological Parenting in Colleges and Universities in the Context of Social Media

Online veröffentlicht: 03. Mai 2024

Seitenbereich: -

Eingereicht: 03. Apr. 2024

Akzeptiert: 17. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-0867

Schlüsselwörter
Big data technology, Social media, Psychological parenting, Mental health education

© 2024 Wei Li, published by Sciendo

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

The Application of Big Data Technology in the Educational Model of Psychological Parenting in Colleges and Universities in the Context of Social Media

Online veröffentlicht: 03. Mai 2024

Seitenbereich: -

Eingereicht: 03. Apr. 2024

Akzeptiert: 17. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-0867

SchlüsselwörterBig data technology, Social media, Psychological parenting, Mental health education

© 2024 Wei Li, published by Sciendo

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

Schlüsselwörter
Big data technology, Social media, Psychological parenting, Mental health education