AI-based online proctoring: a review of the state-of-the-art techniques and open challenges
- Title
- AI-based online proctoring: a review of the state-of-the-art techniques and open challenges
- Creator
- Aurelia S.; Thanuja R.; Chowdhury S.; Hu Y.-C.
- Description
- So far, this pandemic has severely affected the education sector. As education undergoes a brilliant transformation with advancing technology, the digital acquisition of knowledge has yet to find widespread use - virtual exams. Faraway Proctoring offers several advantages of using manual and primarily based technology. Although this allows students to take an exam in any field with specific technical requirements, it eliminates the need for physical research centers. It is cost-effective and easy to plan, which can be challenging to manage, especially during aggressive trials. Finally, the paper discusses the performance characteristics of different styles of web-based inspection systems, along with their limitations and challenges. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023.
- Source
- Multimedia Tools and Applications, Vol-83, No. 11, pp. 31805-31827.
- Date
- 2024-01-01
- Publisher
- Springer
- Subject
- Artificial intelligence; Covid-19; Machine learning; Online monitoring; Pandemic; Testers
- Coverage
- Aurelia S., Department of Computer Science, CHRIST Deemed University, Bangalore, India; Thanuja R., Department of CSE, Sastra Deemed University, SRC Campus, Kumbakonam, India; Chowdhury S., Department of Computer Science and Engineering, Sreenivasa Institute of Technology and Management Studies, Andra Pradesh, Chittoor, India; Hu Y.-C., Department of Computer Science, Tunghai University, Taichung City, Taiwan, Department of Computer Science and Information Management, Providence University, Taichung City, Taiwan
- Rights
- Restricted Access
- Relation
- ISSN: 13807501; CODEN: MTAPF
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Aurelia S.; Thanuja R.; Chowdhury S.; Hu Y.-C., “AI-based online proctoring: a review of the state-of-the-art techniques and open challenges,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 26, 2025, https://archives.christuniversity.in/items/show/13317.