AI-enabled proctoring refers to using artificial intelligence technologies to monitor and supervise online tests or assessments remotely.
It involves employing software tools that use computer vision, facial recognition, pattern recognition, speech recognition, eye-movement detection, plane detection, and other machine-learning algorithms to track and analyze test-takers' behavior.
For example, when employees take an online assessment, the AI proctor can detect if they are cheating by tracking browser activity, if someone else is in the room, etc.
In addition, it can flag suspicious behavior such as cheating attempts, unauthorized access to test materials, or attempts to copy or share test content. This technology can also help verify test-takers' identity and ensure they are the same person who registered for the test.
To summarize it simply:
AI-enabled proctoring is also called "remote proctoring," "smart proctoring," or "online proctoring."
Different types of AI proctoring are being widely used. Some of them are:
1. Live Proctoring: AI assists a human proctor by flagging cheating behaviors in live proctoring. The human monitors the test-takers through a camera.
2. Recorded Proctoring: This allows the test-takers to take the test at their convenience and records their behavior. The AI detects any unfair practices and flags them to the reviewers.
3. Automated Proctoring: AI is used to monitor the behavior of the test-takers in real-time and can instantly flag behaviors such as copying, cheating, accessing resources that are not authorized, etc.
4. Hybrid Proctoring: This can be a combination of different types of proctoring. For example, the test-takers can be live-proctored but may also be recorded for future review.
Further, each kind of the above-listed proctoring can be either one of, a combination of a few, or all of the following:
AI-enabled proctoring comes with a host of benefits.