Real Time Online Exam Proctoring System |
Author(s): |
| Punam P Mohabey , Mpce Bhilewada , Bhandara 441904; Priyanka R Pardhi, Mpce, Bhilewada, Bhandara 441904; Kajal B Rahandale, Mpce, Bhilewada, Bhandara 441904; Kalyani B Khobragade, Mpce, Bhilewada, Bhandara 441904; Deepak Bhiogade, Mpce, Bhilewada, Bhandara 441904 |
Keywords: |
| Online Exam Proctoring (OEP), User Authentication, Active Window Detection, Multiple People Detection, Face Recognition and Phone Detection |
Abstract |
|
Massive open online courses (MOOCs) and other forms E-Learning's continue to increase in popularity and reach. The rapid growth of the e-learning industry has created needs for various supporting technologies. One area that is gaining significance is the virtual proctoring space. The ability to evidently proctor remote online examinations is an important limiting factor to the scalability of this next stage in education. Currently, human proctoring is the most common approach of evaluation, by either requiring the test taker to visit an examination center, or by monitoring them visually during exams via a webcam. However, such methods are labor-intensive and costly. Our project, is a automated analytics system which performs online exam proctoring. The system hardware includes a webcam, for the purpose of monitoring the visual environment of the test location. The system includes _ve basic components which continuously estimate the key behavior cues: user authentication, active window detection, multiple people detection, constant check on who is giving the test and phone detection. By combining the continuous Estimation components, we design a webpage which classify whether the test taker is cheating at any moment during the test. Henceforth, Assessment providers, educational institutions and a MOOC's can become valuable partners by enabling assessments to be administered cheaper and faster. Also this helps test-takers to give exam at convenience of their homes at a suitable time. |
Other Details |
|
Paper ID: IJSRDV9I40232 Published in: Volume : 9, Issue : 4 Publication Date: 01/07/2021 Page(s): 258-261 |
Article Preview |
|
|
|
|
