摘要
学习行为是高校学生的主体行为,好的学习成绩通常与好的学习行为密不可分,而好的学习行为在很大程度上折射出学生稳定的心理状态。文章以北京工商大学学生为数据样本,应用SPSS软件验证学生食堂吃早餐次数、去图书馆次数与学生学习成绩好坏的相关性,并提供了构建基于学习行为大数据的学生思想动态监测及预警体系的思路,为高校思想政治工作管理提供新的方法和途径。
Learning behavior is the main behavior of college students. Good academic performance is usually closely related to good learning behavior, and good learning behavior reflects the stable psychological state of students to a large extent. Taking the students of Beijing Technology and Business University as the data sample, this paper uses SPSS software to verify the correlation between the number of breakfasts eaten in the student canteen, the number of visits to the library and the students' academic performance. It also provides the idea of constructing the dynamic monitoring and early warning system of students' thoughts based on the big data of learning behavior. The idea of the system provides new methods and ways for the management of ideological and political work in colleges and universities.
作者
许峰
吕素香
XU Feng;LV Suxiang
出处
《高教学刊》
2019年第5期175-177,共3页
Journal of Higher Education
基金
2018年首都大学生思想政治教育课题项目"基于学习行为大数据的学生思想动态监测机制及应用研究"(编号:BJSZ2018ZC45)的前期研究成果
关键词
大数据
思想动态
监测及预警
big data
ideological trend
monitoring and early warning
