Cheat Me Not: Automated Proctoring of Digital Exams on Bring-Your-Own-Device

被引:6
作者
Migut, Gosia [1 ]
Koelma, Dennis [1 ]
Snoek, Cees G. M. [1 ]
Brouwer, Natasa [1 ]
机构
[1] Univ Amsterdam, Amsterdam, Netherlands
来源
ITICSE'18: PROCEEDINGS OF THE 23RD ANNUAL ACM CONFERENCE ON INNOVATION AND TECHNOLOGY IN COMPUTER SCIENCE EDUCATION | 2018年
关键词
digital assessment; automated proctoring; higher education;
D O I
10.1145/3197091.3205813
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Detecting fraud in digital assessment is currently done by human proctor, that observes recordings of the exam. This is costly, tedious and time consuming process. In this paper we present preliminary results on automated video proctoring, which has the potential to significantly reduce manual effort and scale-up digital assessment, while retaining good fraud detection.
引用
收藏
页码:388 / 388
页数:1
相关论文
共 5 条
[1]  
Brouwer N., 2017, MSOR CONNECTIONS, V15
[3]  
Fluck A., 2013, TRANSFORMING ASSESSM, P1
[4]  
Sindre G., 2015, NORSK INFORMASJONSSI
[5]   A formal study of shot boundary detection [J].
Yuan, Jinhui ;
Wang, Huiyi ;
Xiao, Lan ;
Zheng, Wujie ;
Li, Jianmin ;
Lin, Fuzong ;
Zhang, Bo .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2007, 17 (02) :168-186