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积极心理学背景下基于数据分析的大学生心理健康调适方法

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

作者信息

Yang Sibo, Lin Lin, Zhang Xue

机构信息

School of Education, Harbin Normal University, Harbin, China.

School of Marxism, Jinzhou Medical University, Jinzhou, China.

出版信息

Front Psychol. 2022 Jun 30;13:921621. doi: 10.3389/fpsyg.2022.921621. eCollection 2022.

Abstract

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, = 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.

摘要

高等院校在培养社会主义事业建设者和接班人、推进素质教育方面具有重要地位。心理健康教育是全面提高学生综合素质的重要基础和条件。本研究在积极心理学背景下,探索基于虚拟现实的大学生心理健康调适方法。论述了系统需求分析在软件开发过程中的重要性,分析了系统的功能需求、安全需求以及软硬件需求,并运用Apriori算法探究大学生心理健康的影响因素。基于系统工程方法,采用数据挖掘聚类方法对大学生心理健康进行详细分析研究,进而设计一种基于聚类的异常挖掘算法,快速查找异常数据健康问题。系统界面设计简洁,操作简便。用户可根据界面上的各种控件方便地输入、查询和统计信息,充分体现了以人为本的特点。探索学生频繁上网的特点,保证了评估和咨询工作的效率、准确性和全面性,方便师生进行心理咨询,节省纸张。通过建立数据挖掘模型,挖掘数据库,了解不同学生群体及其各自特点,探讨我们对学生心理的研究,总结大学生的心理健康状况以及性别、适应与焦虑、内向、情绪性和平静程度。还考虑了性别、消极与勇气之间的关系。运用积极心理学理论,审视学生的积极体验和相互关联的品质,构建心理健康实践体系。在实验中,虚拟现实治疗系统组的幸福指数评估具有显著性,P = 0.002 < 0.05。心理健康教育在培养大学生健康心理、开发心理潜能、增强适应能力、完善人格等方面发挥着重要作用。基于实际数据的本分析为心理教育工作者提高学校心理咨询的效率和效果、协助学校建立心理障碍早期预防和干预的新方法提供了可靠依据,使机构能够为大学生营造健康的氛围。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b3d1/9280430/6e3233e2d0ad/fpsyg-13-921621-g0001.jpg

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