基于多维数据融合的学生行为轨迹分析
Multidimensional Data Fusion-based Analysis of Student Behavioral Trajectories
吴飞龙 1张哲 1张心 1朱晓芒 1王芳1
作者信息
- 1. 西安交通大学网络信息中心,陕西 西安 710049
- 折叠
摘要
随着高校信息化建设的不断推进,学校内部各项管理工作也逐渐向数字化、智能化方向发展.在学生管理方面,对学生在校内的轨迹进行分析,可以有效地帮助学校掌握学生的日常行为、关注学生的安全情况、提高管理效率.提出一种基于多维数据进行学生校内轨迹分析的方法,该方法通过消费、网络连接、考勤、人脸识别、图书借阅、门锁/门禁刷卡等多种手段获取学生在校内的各种信息,并将这些信息进行有效的整合和分析.通过分析学生在校内的轨迹,可以了解学生的活动范围、活动轨迹、活动时长等多方面的信息,进而为学校提供相关的决策参考.基于该方法开发了学生轨迹查询系统.经过系统实际使用表明,该方法可以有效提取学生在校内的行为特征,实现学生校内轨迹准确、全面的分析.
Abstract
With the continuous advancement of information construction in colleges and universi-ties,all management work within the school is gradually developing in the direction of digitiza-tion and intelligence.In terms of student management,analyzing the trajectory of students on campus can effectively help schools grasp the daily behavior of students,pay attention to the safety of students,and improve management efficiency.A method is proposed to analyze students'trajectories on campus based on multidimensional data,which obtains various informa-tion about students on campus by various means such as consumption,network connection,at-tendance,face recognition,book borrowing,door lock/access control swipe,etc.,and in-tegrates and analyzes this information effectively.By analyzing the trajectory of students in the school,it can understand the scope of activities,activity trajectory,activity length and other aspects of information,and then provide relevant decision-making reference for the school.Based on this method,a student trajectory query system is developed.The actual use of the sys-tem shows that the method can effectively extract the behavioral characteristics of students in the school and realize the accurate and comprehensive analysis of students'trajectories in the school.
关键词
学生轨迹分析/多维数据/数字化管理/高校信息化建设/校内安全/学生行为特征Key words
student trajectory analysis/multidimensional data/digital management/information technology construction in u-niversities/campus safety/student behavioral characteristics引用本文复制引用
出版年
2023
NETL
NSTL
维普
万方数据