大学生心理健康监测系统构建研究-国际心理学进展-CSCIED科技核心评价数据库-手机版

大学生心理健康监测系统构建研究

Study on the construction of college students mental health monitoring system

ES评分 0 浏览量：503 下载量：0

DOI	10.12208/j.aip.20240002
刊名	国际心理学进展 Advances in International Psychology
年，卷(期)	2024, 6(1)
作者	朱嘉楠,张译木,丁卫泽,叶思雨,刘敏,王荣*,
作者单位	南通理工学院健康医学院江苏南通 ;
摘要	随着社会的快速发展和竞争的日益激烈，大学生作为社会的重要群体，其心理健康问题日益突出，面临着学业、就业、人际关系等多重压力，这些因素都可能对其心理健康产生负面影响。因此，构建一个科学、系统、有效的大学生心理健康监测系统显得尤为重要。大学生心理健康监测系统作为高校心理健康教育的重要组成部分，其构建与完善对于促进大学生的健康成长、维护校园稳定具有重要意义。本文旨在综述当前大学生心理健康监测系统构建的现状，并探讨其对未来心理健康服务的潜在意义。
Abstract	With the rapid development of society and the increasingly fierce competition, college students, as an important group of society, have increasingly prominent mental health problems, facing multiple pressures such as study, employment and interpersonal relationships, which may have a negative impact on their mental health. Therefore, it is particularly important to construct a scientific, systematic and effective mental health monitoring system for college students. As an important part of college students mental health education, the construction and improvement of college students mental health monitoring system is of great significance for promoting the healthy growth of college students and maintaining campus stability. The purpose of this paper is to review the current status of the construction of college students mental health monitoring system and explore its potential significance for future mental health services.
关键词	大学生；心理健康；系统构建
KeyWord	College students; Mental health; System construction
基金项目
页码	9-12

参考文献
相关文献

[1] 郑晓边, 刘华山.大学生心理健康测评与干预
[J].教育研究与实验, 2000, (03):44-49.
[2] 高杰.疫情防控背景下高校学生心理防护策略
[J].武汉职业技术学院学报, 2020,19(6):88-91.
[3] 朱丽, 杨青, 吴涛, 等. 基于 CNN 和 Bi－LSTM 的脑电波情感分析
[J]. 应用科学学报, 2022, 40( 1) : 1－12.
[4] 李鹏宇.微博社交网络中的学生用户抑郁症识别方法研究
[D].哈尔滨工业大学,2014
[5] 庞红卫,王翠芳,李刚,等. 基于人工智能的学生心理健康监测与评价体系的构建
[J]. 教育测量与评价, 2022, (03): 31-39. DOI:10.16518/j.cnki.emae.2022.03.004.
[6] E. Garcia-Ceja et al. Mental health monitoring with multimodal sensing and machine learning: a survey Pervasive Mob. Comput.(2018)
[7] Xiong, G, Cheng, J, Wu, X, et al. An energy model approach to people counting for abnormal crowd behavior detection NEUROCOMPUTING. 2012; 83 121-135. doi: 10.1016/j.neucom.2011.12.007
[8] Tinklin T, Riddell S, Wilson A. Support for students with mental healthdifficulties in higher education: the students' perspective
[J].Brit J Guid Couns, 2005, 33(4):495-512.
[9] Eisenberg D, Hunt J, Speer N, et al. Mental health service utilization among college students in the United States
[J].J NervMent Dis, 2011, 199(5):301-308.
[10] Miller MJ, Yang MJ, Hui KY, et al. Acculturation, enculturation, and Asian American college students' mental health andattitudes toward seeking professional psychological help
[J]. J Couns Psychol, 2011, 58(3):346-357.
[11] Rodrigo Martínez-Castaño, Juan C. Pichel, David E. Losada. A Big Data Platform for Real Time Analysis of Signs of Depression in Social Media
[J]. International Journal of Environmental Research and Public Health, 2020, 17(13)
[12] Homero GDZ, Diehl T. Citizenship, Social Media, and Big Data Current and Future Research in the Social Sciences
[J]. Social Science Computer Review,2017,35(1):3-9.

引用本文

朱嘉楠,张译木,丁卫泽,叶思雨,刘敏,王荣*. 大学生心理健康监测系统构建研究 [J]. 国际心理学进展. 2024; 6; (1). 9 - 12.

文献评论

相关学者

相关机构