An automated online proctoring system using attentive-net to assess student mischievous behavior.

ABSTRACT: In recent years, the pandemic situation has forced the education system to shift from traditional teaching to online teaching or blended learning. The ability to monitor remote online examinations efficiently is a limiting factor to the scalability of this stage of online evaluation in the education system. Human Proctoring is the most used common approach by either asking learners to take a test in the examination centers or by monitoring visually asking learners to switch on their camera. However, these methods require huge labor, effort, infrastructure, and hardware. This paper presents an automated AI-based proctoring system- 'Attentive system' for online evaluation by capturing the live video of the examinee. Our Attentive system includes four components to estimate the malpractices s

SUBMITTER: Potluri T 

PROVIDER: S-EPMC9944407 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature