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Adjustment Method of College Students' Mental Health Based on Data Analysis Under the Background of Positive Psychology

Colleges and universities are in an important position to train builders and successors of the socialist cause whilst promoting quality education. Mental health education is an important foundation and condition for comprehensively improving students' overall quality. This research explores adj...

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Autores principales: Yang, Sibo, Lin, Lin, Zhang, Xue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9280430/
https://www.ncbi.nlm.nih.gov/pubmed/35846651
http://dx.doi.org/10.3389/fpsyg.2022.921621
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author Yang, Sibo
Lin, Lin
Zhang, Xue
author_facet Yang, Sibo
Lin, Lin
Zhang, Xue
author_sort Yang, Sibo
collection PubMed
description Colleges and universities are in an important position to train builders and successors of the socialist cause whilst promoting quality education. Mental health education is an important foundation and condition for comprehensively improving students' overall quality. This research explores adjustment methods for college students' mental health based on virtual reality under the background of positive psychology. It discusses the importance of system requirements analysis in the software development process, analyzes the system's functional requirements, safety requirements, and software and hardware requirements, and uses the Apriori algorithm to explore the influencing factors of college students' mental health. Based on the system engineering method and using the data mining clustering method undertake detailed analysis and research on the mental health of college students, it then designs an anomaly mining algorithm based on clustering to quickly find anomalous data health problems. The interface design of the system is concise and the operation is simple. Users can conveniently input, query, and count information according to the various controls on the interface, which fully embodies human-oriented characteristics. Exploration of the characteristics of students' frequent Internet access ensures the efficiency, accuracy, and comprehensiveness of the evaluation and consultation work, facilitating psychological counseling for teachers and students, and saving paper. By establishing a data mining model, mining the database, and learning about different student groups and their respective characteristics, we discuss our research on student psychology and summarize the mental health status and gender, adaptation and anxiety, introversion, emotionality, and calmness of college students. We also consider the relationship between sex, negative, and courage. Using positive psychology theory, we examine the positive experiences of students and interconnected qualities, to build a mental health practice system. In the experiment, the happiness index evaluation of the virtual reality treatment system group was significant, P = 0.002 < 0.05. Mental health education plays an important role in cultivating the healthy psychology of college students, developing their psychological potential, enhancing their adaptability, and improving their personality. This analysis based on actual data provides a reliable basis for psychological educators to improve the efficiency and effectiveness of school psychological counseling and to facilitate schools in establishing new methods of early prevention and intervention for psychological disorders, enabling institutions to create a healthy atmosphere for college students.
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spelling pubmed-92804302022-07-15 Adjustment Method of College Students' Mental Health Based on Data Analysis Under the Background of Positive Psychology Yang, Sibo Lin, Lin Zhang, Xue Front Psychol Psychology Colleges and universities are in an important position to train builders and successors of the socialist cause whilst promoting quality education. Mental health education is an important foundation and condition for comprehensively improving students' overall quality. This research explores adjustment methods for college students' mental health based on virtual reality under the background of positive psychology. It discusses the importance of system requirements analysis in the software development process, analyzes the system's functional requirements, safety requirements, and software and hardware requirements, and uses the Apriori algorithm to explore the influencing factors of college students' mental health. Based on the system engineering method and using the data mining clustering method undertake detailed analysis and research on the mental health of college students, it then designs an anomaly mining algorithm based on clustering to quickly find anomalous data health problems. The interface design of the system is concise and the operation is simple. Users can conveniently input, query, and count information according to the various controls on the interface, which fully embodies human-oriented characteristics. Exploration of the characteristics of students' frequent Internet access ensures the efficiency, accuracy, and comprehensiveness of the evaluation and consultation work, facilitating psychological counseling for teachers and students, and saving paper. By establishing a data mining model, mining the database, and learning about different student groups and their respective characteristics, we discuss our research on student psychology and summarize the mental health status and gender, adaptation and anxiety, introversion, emotionality, and calmness of college students. We also consider the relationship between sex, negative, and courage. Using positive psychology theory, we examine the positive experiences of students and interconnected qualities, to build a mental health practice system. In the experiment, the happiness index evaluation of the virtual reality treatment system group was significant, P = 0.002 < 0.05. Mental health education plays an important role in cultivating the healthy psychology of college students, developing their psychological potential, enhancing their adaptability, and improving their personality. This analysis based on actual data provides a reliable basis for psychological educators to improve the efficiency and effectiveness of school psychological counseling and to facilitate schools in establishing new methods of early prevention and intervention for psychological disorders, enabling institutions to create a healthy atmosphere for college students. Frontiers Media S.A. 2022-06-30 /pmc/articles/PMC9280430/ /pubmed/35846651 http://dx.doi.org/10.3389/fpsyg.2022.921621 Text en Copyright © 2022 Yang, Lin and Zhang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Yang, Sibo
Lin, Lin
Zhang, Xue
Adjustment Method of College Students' Mental Health Based on Data Analysis Under the Background of Positive Psychology
title Adjustment Method of College Students' Mental Health Based on Data Analysis Under the Background of Positive Psychology
title_full Adjustment Method of College Students' Mental Health Based on Data Analysis Under the Background of Positive Psychology
title_fullStr Adjustment Method of College Students' Mental Health Based on Data Analysis Under the Background of Positive Psychology
title_full_unstemmed Adjustment Method of College Students' Mental Health Based on Data Analysis Under the Background of Positive Psychology
title_short Adjustment Method of College Students' Mental Health Based on Data Analysis Under the Background of Positive Psychology
title_sort adjustment method of college students' mental health based on data analysis under the background of positive psychology
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9280430/
https://www.ncbi.nlm.nih.gov/pubmed/35846651
http://dx.doi.org/10.3389/fpsyg.2022.921621
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