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In This Article:


Viewing Class Results

Once your students have completed the exam, to view the class results:

  1. From the Respondus Block, click "Dashboard".
  2. Use the dropdown menu to the left of the quiz title where Respondus is required to select "Class Results".



  3. Read the information box on "How is priority determined?".

Review Priority

"Review Priority" is a comprehensive measure that conveys whether a student's exam session warrants a closer look by the instructor. Results appear in Low, Medium, and High categories, using a green-to-red bar graph conveying the risk level.

  1. Use [+] to expand the details for a student:

1) Summary of key data.

2) List of Flags and Milestones (see explanation below).

3) Video playback and controls.

4) Timeline with flags (red) and milestones (blue).

5) Thumbnail images from video.


How is Review Priority Determined?

The Review Priority value is derived from three sources of data:

  1. The webcam video of the test taker is analyzed using facial detection technology, which is how flagged events like "Missing from Frame" and "Different person in frame" are generated. Facial detection/recognition is an especially important part of the data analysis that occurs.

  2. Data from the computing device and network used for the assessment will generate events such as video interruptions, auto-restarts of a webcam session, mouse/trackpad/keyboard/touch usage, attempts to switch applications, and so forth.

  3. Data is also obtained from the student's interaction with the assessment, such as when the exam session starts and ends, when answers are saved, if the student exited the exam early, and so forth.

The data is then analyzed at two levels:

  1. It is first compared to baseline data for all videos analyzed by the Respondus Monitor system.
  2. It is then compared to data from other test takers of the same examination.

Finally, weights and other adjustments are made to the data, from which the Review Priority value is generated.


Important Tips

  1. Flags aren't cheating. Flagged events and the Review Priority value don't determine whether a student has cheated or not. Rather, they are tools to help identify suspicious activities, anomalies, or situations where the data is of too low of a quality to analyze.

  2. Facial detection is important. Several flagging events rely heavily on facial detection technology. If the face cannot be detected in the video, it isn't possible to determine if the test taker is "missing" or "different". If a student's face is turned away from the webcam or heavily cropped in the video (e.g. you can only see the student's eyes and forehead), facial detection rates will drop. Other things that affect facial detection rates are baseball caps, backlighting, very low lighting, hands on the face, and certain eye glasses.

  3. There are more "false positives" than "true positives." Flags that rely on facial detection technology are often incorrect (known as a false positive). If a student is flagged as "missing" but he/she is still visible in the frame, this would be considered a false positive. A "true positive" is a suspicious behavior that is correctly identified by the flagging system. Our goal is to reduce the false positive flags as much as possible, without missing the "true positive" events. It's not a perfect science — yet.

  4. Garbage in, garbage out. You can achieve immediate improvement with automated flags that rely on facial detection by having students produce better videos. Provide these simple guidelines to students to help them create higher quality videos so the flagging system works better.
    • Avoid wearing baseball caps or hats that extend beyond the forehead
    • If using a notebook computer, place it on a firm surface like a desk or table, not your lap.
    • If the webcam is built into the screen, avoid making screen adjustments after the exam starts. A common mistake is to push the screen back, resulting in only the top portion of the face being recorded.
    • Don't lie down on a couch or bed while taking an exam. There is a greater chance you'll move out of the video frame or change your relative position to the webcam.
    • Don't take an exam in a dark room. If the details of your face don't show clearly during the webcam check, the automated video analysis is more likely to flag you as missing.
    • Avoid backlighting situations, such as sitting with your back to a window. The general rule is to have light in front of your face, not behind your head.
    • Select a distraction-free environment for the exam. Televisions and other people in the room can draw your attention away from the screen. Other people that come into view of the webcam may also trigger flags by the automated system.

  5. Continual improvements. Respondus Monitor is the most advanced system for automated exam proctoring. The goal is to provide "meaningful results," not simply a list of flagged events that require instructors to analyze everything themselves. Respondus Monitor is continually being enhanced, so instructors can focus on teaching, not analyzing the videos of exam sessions.



Source: https://web.respondus.com/monitor-review/