Cheat me not: automated proctoring of digital exams on Bring-Your-Own-Device
| Authors | |
|---|---|
| Publication date | 2018 |
| Host editors |
|
| Book title | ITiCSE'18 |
| Book subtitle | proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education : July 2-4, 2018, Larnaca, Cyprus |
| ISBN (electronic) |
|
| Event | 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education |
| Pages (from-to) | 388 |
| Number of pages | 1 |
| Publisher | New York, NY: The Association for Computing Machinery |
| Organisations |
|
| Abstract | 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. |
| Document type | Conference contribution |
| Language | English |
| Published at | https://doi.org/10.1145/3197091.3205813 |
| Other links | https://ivi.fnwi.uva.nl/isis/publications/2018/MigutITCSE2018 |
| Downloads |
iticse18short-id288-p
(Final published version)
|
| Permalink to this page | |
