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.%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.
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