摘要
阐述整合智慧校园各业务平台海量数据,利用相关算法对数据进行抽取挖掘,构建高校孤僻人群预警模型,分析预警结果。提出针对高校孤僻人群的对策,包括预警结果的有效传播与响应机制、针对性的心理干预方案和社交支持网络的建设与维护等,以保障学生的健康。
This paper describes the integration of massive data from various business platforms in smart campuses,the use of relevant algorithms to extract and mine data,the construction of a warning model for isolated populations in universities,and the analysis of warning results.Propose countermeasures for the isolated population in universities,including effective dissemination and response mechanisms for warning results,targeted psychological intervention programs,and the construction and maintenance of social support networks,to ensure students'health.
作者
李自臣
王丹
刘江越
LI Zichen;WANG Dan;LIU Jiangyue(Guangdong Vocational and Technical College of Water Resources and Electric Power,Guangdong 510925,China;Urumqi Vocational University,Xinjiang 830002,China)
出处
《电子技术（上海）》
2024年第6期62-64,共3页
Electronic Technology
基金
全国高等院校计算机基础教育研究会课题(2023-AFCEC-021,2023-AFCEC-205)
中国高校产学研创新基金项目(2021ITA02031)
广东水利电力职业技术学院2022年度校级教育教学改革研究与实践项目(GX0205JGYB028)。
关键词
计算机技术
大数据分析
预警模型
computer technology
big data analysis
warning models
