AI Based Proctoring uses artificial intelligence to monitor and supervise online exams, ensuring a secure and fair testing environment by detecting cheating behaviors and other irregularities.
AI based proctoring systems use machine learning algorithms to analyze data from webcams, microphones, and screen captures. These systems detect behaviors such as unusual movements, multiple people in the frame, and unauthorized screen activities. They can also identify patterns that suggest cheating, such as repeated eye movements indicative of reading off-screen notes.
Advanced Behavior Analysis: Uses sophisticated AI to detect subtle cheating behaviors.Real-Time Alerts: Provides instant alerts for suspicious activities.Integration Capabilities: Easily integrates with various online exam platforms.Scalability: Manages large-scale exams with minimal human intervention.
Training and Familiarization: Ensure candidates are familiar with the AI proctoring process and system requirements.Data Security: Implement robust data security measures to protect candidates' personal information.Transparent Policies: Clearly communicate proctoring policies and procedures to all test-takers.
AI based proctoring is highly accurate due to continuous learning and improvement of algorithms. However, human review is recommended for flagged incidents.
AI proctoring balances security and privacy, focusing on behaviors indicative of cheating while ensuring data protection and privacy.
