高校学生思想与行为大数据相关性分析
——基于湖南某高校1076名在校生的调研
| 作 者：于祥成 王莎 |
| 单 位：湖南大学 |
| 基金项目： |
| 摘 要： |
| 通过问卷编制与统计分析，对样本高校1076名学生思
想状况“人生观、政治观”等七个维度进行调研，依据分析结果
的均值和标准差数据，将学生分为三类：红正、普通、困难，为
衡量学生思想“层次”确定标尺。对学生在校期间的“政治、道
德、学业、经济、求职、人际交往”六个主要维度的行为进行行
为分析，通过构建若干个三级指标的行为体系，搭建来源于五
大途径的高校学生行为大数据平台。借助SPSS进行统计学分
析，研究思想数据与行为数据之间的关系，发现思想红正、普
通和困难的学生的行为特点，得出与高校学生思想“好坏”呈
显著正、负相关的行为指标，从而实现判断高校学生思想状况
走向，对其进行预测、分类，发现规律，提升教育针对性与实效
性的目的。 |
| 关键词：高校学生；思想；行为；大数据；相关性 |
Correlation Analysis of Undergraduates' Ideological
Survey and Behavioral Big Data
| Author's Name: YU Xiang-cheng WANG Sha |
| Institution: |
| Abstract: |
| Through the questionnaire survey and statistical analysis, ideological conditions of 1076 undergraduates
are investigated in seven dimensions such as the life view and the politics view. Based on the mean and standard
deviation data from the analysis, students are divided into three groups, Role Model, Normal, and Struggling, to set
Ruler to measure students’ ideological quality. After conducting an analysis on the behaviors of students in terms of
six major dimensions including politics, morality, learning, economy, job search and interpersonal interaction while
they are in school, a behavioral system with several indicators is built and a behavioral big data platform is also set up
based on data from five major channels. Through SPSS statistical analysis, the relationship between ideology data and
behavior data is established, and behavioral characteristics of the students (Role Model, Normal, and Struggling)are
found. Then, the indexes that show a significantly positive or negative correlation with behaviors of undergraduates
are obtained. These indexes help to estimate ideological trends of college students, discover the regular pattern, and
enhance the relevance and effectiveness of education. |
| Keywords: undergraduate; ideology; behavior; big data; relevance |
| 投稿时间：2018-02-19 |
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