What if you could supervise your organization’s online exams without requiring an administrator to watch every minute of every session? You’d be saving time while giving your team more capacity.
That’s where AI proctoring comes in. In this article, we’ll look at how this practical feature works and how member-based organizations can use it for online assessments while reducing the amount of hands-on monitoring required. Let’s dive right in!
Yes, Humans Are Still In The Loop!
Before we get into how AI proctoring works, we’ll first reassure you that yes, humans are still kept in the loop here. You aren’t delegating the final decision to AI, especially when it comes to something as high-stakes as an exam.
Think of AI proctoring as an extra (helpful!) set of eyes during an online exam. It monitors the session and flags activity that may require a closer look later by a real person. These instances can include unusual behavior or actions that don’t match the rules set for your specific assessment, like having multiple people on-screen at once or disappearing from the webcam’s view entirely.
The keyword here is flags. A flag doesn’t automatically determine that the test taker has done something bad or wrong. Instead, it allows a human reviewer to examine a particular moment or activity and make the call, much like they would during live proctoring! This process helps save time and effort.
Scenario
A test taker looks away from the screen several times during the exam. Here, AI will flag each of those moments for review. Then, that same test taker also gets up and moves around the room three or four times. Will AI flag that, too? Yes, of course.
Do these actions automatically mean the person should fail? Not necessarily. The AI system will recognize that behavior as suspicious and record it so that when it comes time for the reviewer to make the final decision, the activity can be traced and evaluated.
Straightforward, right? This setup leaves repetitive, tedious monitoring to AI while leaving the final judgment with the human proctor.
Conclusion
With AI proctoring, reviewers no longer need to keep their eyes glued to a screen for hours at a time. Testing becomes easier to manage and more flexible to schedule, while teams can focus on the precise moments that actually need attention. Less hands-on monitoring, more flexibility, and better use of administrator time. That’s a win-win-extra win!
