Artificial intelligence: A new model for online proctoring in education
- Title
- Artificial intelligence: A new model for online proctoring in education
- Creator
- Kaushik R.; Singh V.; Kumari R.
- Description
- As a result of technological advancements, society is becoming increasingly computerized. Massive open online courses and other forms of remote instruction continue to grow in popularity and reach. COVID-19's global impact has boosted the demand for similar courses by a factor of ten. The ability to successfully assign distant online examinations is a crucial limiting factor in this next stage of education's adaptability. Human proctoring is now the most frequent method of evaluation, which involves either forcing test takers to visit an examination centre or watching them visually and audibly throughout tests via a webcam. However, such approaches are time-consuming and expensive. In this paper, we provide a multimedia solution for semi-automated proctoring that does not require any extra gear other than the student's computer's webcam and microphone. The system continuously monitors and analyses the user based on gaze detection, lip movement, the number of individuals in the room, and mobile phone detection, and captures audio in real time through the microphone and transforms it to text for assessment using speech recognition. Access the words gathered by speech recognition and match them for keywords with the questions being asked for higher accuracy using Natural Language Processing. If any inconsistencies are discovered, they are reported to the proctor, who can investigate and take appropriate action. Extensive experimental findings illustrate the correctness, resilience, and efficiency of our online exam proctoring system, as well as how it allows a single proctor to simultaneously monitor several test takers. 2023 Author(s).
- Source
- AIP Conference Proceedings, Vol-2723, No. 1
- Date
- 2023-01-01
- Publisher
- American Institute of Physics Inc.
- Subject
- Artificial intelligence; Natural language processing; Natural language toolkit; Online systems
- Coverage
- Kaushik R., Department of Computer Science, CHRIST (Deemed to Be University), Karnataka, Bangalore, India; Singh V., Department of Computer Science and Engineering, Manipal University Jaipur, Jaipur, India, Norwegian University of Science and Technology, esund, Norway; Kumari R., ICFAI Business School (IBS), Bangalore, Off-Campus Center, ICFAI Foundation for Higher Education (IFHE) University, Karnataka, Bangalore, India
- Rights
- Restricted Access
- Relation
- ISSN: 0094243X
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Kaushik R.; Singh V.; Kumari R., “Artificial intelligence: A new model for online proctoring in education,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 27, 2025, https://archives.christuniversity.in/items/show/19606.