基于大数据的大学生校园行为分析及智能预警研究
Research on Campus Behavior Analysis and Intelligent Early Warning of College Students Based on Big Data
王伟 1高华 2贾红果 2张娜 2韩冰2
作者信息
- 1. 山东科技大学,山东青岛 266590;康复大学,山东青岛 266000
- 2. 山东科技大学,山东青岛 266590
- 折叠
摘要
运用大数据从基数大、范围广、个性强的校园学生群体中检测分析出潜在的、有异常的学生行为并实时预警已成为高校重点关注的问题.本文阐述了基于大数据的大学生校园行为分析及智能预警的重要性,梳理了学生行为大数据的来源分类和大数据赋能学生行为分析的特点,结合大数据相关技术论述了学生行为分析预警平台的构建,并提出了基于大数据技术提升高校治理能力的有效路径,旨在为高校的数字化和信息化建设提供参考意见和技术支持.
Abstract
The application of big data to detect and analyze potential abnormal student behaviors from a large,diverse,and highly individualistic campus student population for real-time early warning has become a critical concern for higher education institutions.This paper elaborates on the importance of campus behavior analysis and intelligent early warning of college students based on big data,sorts out the source classification of student behavior big data and the characteristics of big data empowering student behavior analysis,discusses the construction of a student behavior analysis and early warning platform in conjunction with big data-related technologies,and proposes effective paths to enhance the governance capabilities of higher education institutions based on big data technology.The aim is to provide reference opinions and technical support for the digitalization and informatization construction of higher education institutions.
关键词
大数据/大学生/校园行为安全/预测预警Key words
big data technology/college students/campus behavior safety/predictive early warning引用本文复制引用
出版年
2024
NETL
NSTL
万方数据