Overview
Video proctoring is a remote invigilation method that uses webcams, microphones, and AI-powered software to monitor test-takers during online exams. Its primary purpose is to uphold academic integrity by deterring and detecting dishonest behaviors, such as cheating, impersonation, and unauthorized collaboration.
As the demand for remote learning and certification continues to grow, especially in academic institutions, credentialing bodies, and corporate training environments, video proctoring plays a crucial role in ensuring fair assessment practices.
Key Components of Video Proctoring
Video proctoring typically involves either live proctoring or record-and-review models:
AI-driven Behavior Analysis
Artificial intelligence enhances proctoring accuracy by:
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Detecting unusual eye movements.
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Flagging background noise or unauthorized voices
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Identifying multiple faces in the camera frame
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Monitoring for device changes, tab switching, or copy-paste attempts
Screen Monitoring and Control
Many video proctoring tools integrate screen sharing or secure browser technologies to restrict access to external websites, applications, and files during exams. This prevents the use of unauthorized resources.
Implementation Requirements
To successfully implement video proctoring, both exam administrators and test-takers must meet specific technical and operational criteria:
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Device Compatibility: Students or candidates need access to devices with functional webcams, microphones, and updated browsers.
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Internet Connectivity: A stable internet connection is essential to avoid disruptions during monitoring.
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Platform Integration: Proctoring can be embedded in an online exam platform or deployed as standalone software that integrates via APIs.
Related Talview Solutions
AI Proctoring
Automated Proctoring
Proctoring API
Cheating detection software
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