Construction of psychological warning mechanism for college students in big data environment

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Construction of psychological warning mechanism for college students in big data environment

更新时间：2024-09-19

- Construction of psychological warning mechanism for college students in big data environment
- Vol. 20, Issue 6, Pages: 697-703(2021)
- 作者机构：
  
  重庆医科大学信息中心
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2021，
- 稿件说明：
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Construction of psychological warning mechanism for college students in big data environment. [J]. 20(6):697-703(2021)
DOI：

Construction of psychological warning mechanism for college students in big data environment. [J]. 20(6):697-703(2021) DOI：

摘要

将高校学生心理“大数据”与心理专家库数据结合，利用数据挖掘算法提取特征属性，从稳定的算法模型中得出预警结果。此方法构建的心理预警平台，不仅能实时监测学生心理动态，而且能预测其心理行为趋势，弥补传统预警方式的滞后性及准确率低的不足。心理预警平台提供数据支撑，心理预警制度提供运行保障，两者结合形成的心理预警机制，能够为教育工作者提供科学依据，最终达到利用大数据技术提高高校学生心理健康的目标

Abstract

Combining the psychological big data of college students with the data of the psychological expert database

using data mining algorithm to extract characteristic attributes

deriving the warning results from a stable algorithm model

the psychological early warning platform constructed by this method can not only monitor students' psychological dynamics in real time

but also predict their psychological behavior trend

which makes up for the lag and low accuracy of traditional early warning methods. The psychological early warning platform provides data support and the psychological early warning system provides operational guarantee. The psychological early warning mechanism formed by the combination of the two can provide scientific basis for educators and finally achieve the goal of using big data technology to improve the mental health of college students.

关键词

大数据　行为数据　数据挖掘　心理预警

Keywords

Big data　Behavioral data　Data mining　Psychological warning

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