大数据技术下大学生安全管理与预警研究

Research on University Students'Safety Management and Early Warning under Big Data Technology

大学生安全管理与预警工作作为学校管理的重中之重,是高校其他各项工作得以顺利推进的先决条件,基于大数据技术加强大学生安全管理与预警模式的建设,能够及时探知各类危害大学生安全的复杂因素,为大学生营造更加安全的学习环境与生活环境。但是当前高校并未构建起较为完善的大数据技术应用机制,导致大学生安全管理和预警中普遍存在主体职责模糊、安全防范意识缺失以及安全管理与预警方式落后等问题,无法有效应对信息环境复杂化、新冠疫情、网络诈骗等复杂因素的挑战。这就需要高校从安全管理与预警宣传着手,引入更先进的大数据管理技术,构建专业化技术管理团队,以保障学生数据安全。

As the top priority of school management,university students'safety management and early warning work is the prerequisite for the smooth advancement of other work in colleges and universities.Strengthening the construction of university students'safety management and early warning mode based on big data technology can timely detect all kinds of complex factors that endanger college students'safety,and create a safer learning and living environment for college students.However,at present,colleges and universities have not built a relatively perfect application mechanism of big data technology,leading to problems such as fuzzy main body responsibility,lack of safety awareness and backward safety management and early warning methods in college students.It is difficult for universities to cope with the challenges posed by complex factors effectively such as the complicated information environment,COVID-19 and online fraud.This requires universities to,starting from safety management and early warning publicity,introduce more advanced big data management technology,and build professional technical management team to ensure the safety of students'data.