Record and Review Proctoring
Record-and-review proctoring captures a complete recording of an online exam session, including video, audio, and screen activity, without anyone watching live as it happens. After the test has ended, trained human reviewers examine the recorded footage, often guided by automated flags that point them to specific moments, to confirm whether the assessment was completed within the established rules.
Record-and-review proctoring separates the act of observing an exam from the act of judging it. While the candidate takes the test, the system simply records everything that happens, the camera feed, the sound, and the on-screen activity. No proctor is present in real time, which means the candidate can schedule and take the exam whenever it suits them, and the program does not need to staff live supervision for every session.
After the session ends, the recording becomes the basis for review. Reviewers watch the footage, frequently at an accelerated speed and often directed toward segments that automated analysis has marked as worth examining. This combination lets a small team assess a large number of sessions efficiently, since they spend their attention where it is most likely to matter rather than watching every minute of every test.
The model offers a useful middle ground. It provides the scheduling freedom and scalability of automated proctoring while retaining human judgment in the final assessment. Because the full session is preserved, decisions can be revisited and supported with evidence, which strengthens fairness and accountability if an outcome is questioned.
There are considerations to keep in mind. Reviews happen after the exam, so there is no opportunity to correct a problem while the candidate is still testing. Storing recordings also requires careful attention to privacy and data protection, since the footage contains personal information that must be handled responsibly.
Within remote proctoring, record-and-review sits between fully automated and fully live approaches. It is a common choice for certification and academic programs that want defensible, evidence-backed results without the cost of supervising every candidate in real time, and it pairs naturally with identity verification and a secured testing environment. By keeping a person in the final decision while removing them from the live session, it captures much of the value of human judgment at a far more manageable cost.
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