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

作　　者：王伟[1,2] 高华 贾红果[1] 张娜[1] 韩冰[1] WANG Wei;GAO Hua;JIA Hong-guo;ZHANG Na;HAN Bing(Shandong University of Science and Technology,Qingdao 266590;University of Health and Rehabilitation Sciences,Qingdao 266000,China)

机构地区：[1]山东科技大学,山东青岛266590 [2]康复大学,山东青岛266000

出　　处：《青岛农业大学学报（社会科学版）》2024年第3期134-138,共5页Journal of Qingdao Agricultural University(Social Science)

基　　金：2023年青岛市社会科学规划研究项目“大数据背景下驻青高校学生校园行为安全分析及动态预警研究”(QDSKL2301051);山东科技大学思想政治教育研究课题“大数据背景下高校危机管理模式研究”(SZKT-22033)。

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。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 

分 类 号：G4[文化科学—教育学]