摘要
基于图像识别和动态检测技术对替考、多人作答、擅自离开、中途换人及非法设备带入等在线考试作弊现象进行实时动态监测,仿真实验表明,该考试实时监测方法可有效实现在线考试防作弊功能.
Based on image recognition and dynamic detection technologies,real-time dynamic monitoring of cheating behaviors in online examinations such as taking exams for other students,answering by multiple people,leaving without permission,changing examinee midway and bringing in illegal devices.The simulation experiment shows that the real-time monitoring method for online examinations proposed in this paper can effectively prevent cheating.
作者
余子恺
陈丽
赵竞远
彭欢
Yu Zikai;Chen Li;Zhao Jingyuan;Peng Huan(College of Information Science and Engineering,Jiaxing University,Jiaxing,Zhejiang 314001;School of Software and Internet of Things Engineering,Jiangxi University of Finance and Economics,Nanchang,Jiangxi 330013)
出处
《嘉兴学院学报》
2023年第6期110-114,共5页
Journal of Jiaxing University
基金
教育部人文社会科学研究专项任务(高校辅导员)项目(22JDSZ3023)
教育部产学合作协同育人项目(202002150006)。
关键词
图像识别
在线考试
监测
防作弊
image recognition
online examination
monitoring
preventing cheating
