What is the Trust Score?
As users take tests, AutoProctor monitors their environment real-time to see if they are cheating. It gains access to their camera, mic and the screen they are looking at, very similar to how a human would monitor them.
At the end of the test, our proprietary algorithm calculates a trust score based on all the evidence gathered. This trust score depends on a variety of factors, like the type of violation, its frequency and duration. The Trust Score is a number between 0% and 100%, and the lower it is, the more likely we think the student cheated on the test.
Of course, like all AI tools, AutoProctor isn't perfect. Even if a student's test attempt has a very low trust score, we highly recommend that you review the evidence to see if they actually cheated on the test.
At the end of the test, our proprietary algorithm calculates a trust score based on all the evidence gathered. This trust score depends on a variety of factors, like the type of violation, its frequency and duration. The Trust Score is a number between 0% and 100%, and the lower it is, the more likely we think the student cheated on the test.
Of course, like all AI tools, AutoProctor isn't perfect. Even if a student's test attempt has a very low trust score, we highly recommend that you review the evidence to see if they actually cheated on the test.
Updated on: 05/02/2023
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