AI for remote proctoring in exams

  1. Overview

    Organizations are adopting online assessments at an increasing rate; yet, preserving the integrity of these tests and stopping cheating is getting more difficult.

  2. Before the exam begins

    AI face recognition verifies a candidate's identification to make sure that only those who have registered may enter the virtual testing environment.

  3. While evaluating

    • Voice and audio technology: It can identify conversations and odd background noises that can suggest someone else is present in the room, which might be a clue that someone is cheating.
    • Video motion detection: Tracks the test-taker's lip and eye movements to spot any unusual behavior that might point to talking to someone else or using unapproved assistance.
    • Video recognition: Recognizes instances in which candidates are absent from the feed or in which cameras are obscured, perhaps signifying that an alternate individual has occupied the test seat.
    • Object detection: Employs algorithms to look for actual things that can offer the candidate an unfair edge.
    • Browser monitoring: Keeps tabs on what's being done on the screen during the test, forbids opening more tabs in the browser, stops keyboard shortcuts for copying and pasting, and prevents screen grabs and screen sharing.

  4. Following evaluation

    It is possible to record automated proctored tests in order to improve the transparency, accountability, auditability, and compliance of the online assessment procedure. These recordings support ongoing efforts to enhance proctoring procedures and facilitate the investigation of any anomalies.