Research on the Construction of College Psychological Early Warning System Based on AHP

本研究聚焦于高校学生心理健康问题，旨在构建基于层次分析法(AHP)的高校心理预警系统。鉴于当前高校学生心理健康问题发生率上升且现有预警系统存在不足，本研究引入AHP方法。详细阐述AHP原理、在高校心理预警系统中的应用可行性，包括系统性分析、定性与定量结合、简洁实用等优势，以及心理学和决策理论依据。深入探讨基于AHP的高校心理预警系统构建过程，涵盖系统构建的目标与原则、层次结构模型建立、指标体系确定与权重计算、预警等级划分与阈值设定等内容。同时提出系统实施的步骤与策略、人员培训与技术支持、保障机制建立与完善等措施。该系统具有全面考虑多因素影响、准确反映各因素作用、计算简便且结果直观等优势，为高校心理健康教育工作提供有力支持，有助于促进学生心理健康发展、提升教育工作水平并维护社会稳定。This study focuses on the mental health problems of college students, and aims to build a college psychological early warning system based on analytic hierarchy process (AHP). In view of the increasing incidence of mental health problems among college students and the shortcomings of the existing early warning system, this study introduces AHP method. This paper elaborates the principle of AHP and the feasibility of its application in the psychological early warning system of colleges and universities, including the advantages of systematic analysis, qualitative and quantitative combination, simplicity and practicality, as well as the theoretical basis of psychology and decision-making. This paper discusses the construction process of college psychological early warning system based on AHP, including the objectives and principles of system construction, the establishment of hierarchical structure model, the determination of index system and weight calculation, early warning level division and threshold setting. At the same time, it puts forward the steps and Strategies of system implementation, personnel training and technical support, and the establishment and improvement of guarantee mechanism. The system has the advantages of comprehensively considering the influence of multiple factors, accurately reflecting the role of each factor, simple calculation and intuitive results. It provides strong support for the mental health education in Colleges and universities, and helps to promote the development of students’ mental health, improve the level of education and maintain social stability.