The popularity of massive open online courses (MOOCs) and other forms of online education is at its peak. Assessment and proctoring policies and practices are central to online education and efficient proctoring is the stepping stone to the next stage in education. There are 2 kinds of proctoring, viz human proctoring (live or remote) and auto proctoring (remote).
Human (live) proctoring is currently the commonest approach to test taking. The test candidate either visits the examination center or takes the exam at his own location, during which he is monitored visually and acoustically by a live proctor, by means of a webcam. A live proctor is a human person that oversees an exam and is physically present in the same room as the candidate. Online remote proctoring is also a human person who oversees an exam, but does so by monitoring the candidate from a remote location with the help of an online video camera. Both the remote proctor and student are connected over a high-speed internet and interact through the use of VOIP. In some cases, the remote proctor could well be an automated monitoring technology. In the absence of a live person, the auto remote proctor services come in the form of fully automated cloud-based monitoring technology, eliminating both schedule and location constraints, and the need for human reviewers.
What is Live Online Proctoring?
In a ive proctored exam, the candidates take the online test from their home or any quiet and distraction-free location. A live proctor closely authenticates a candidate identity, and monitors and records the candidate’s behavior in a real-time exam situation. The proctors have the power to terminate an exam if they notice aberrant behavior. The audio and video of the candidates and their computer systems and screens are also recorded for review purposes. A proctoring service provider typically has proctors operating from a single location and each proctor may be monitoring up to 16 candidates at a time.
Automated proctoring is the most advanced form of proctoring. It makes use of software, instead of human beings, to detect instances of examination fraud. It employs face recognition to do student authentication. Automated proctoring detects any unnecessary software and the presence of another person in the room. It records the audio-video and screen feeds of the candidates during the test for the purpose of a future review, if necessary. It also monitors the feeds with advanced video and audio for signs of any suspicious activity. Moreover, automated proctoring ensures that the candidate is focused on the test screen and there is enough light in the room.
To conclude, auto proctoring is set to become the mainstay for online assessments. And with developments pointing to the use of biometric devices such as smart watches and facial recognition, keyboard behavior analysis and sound recognition and touch-screen behavior analysis, auto proctoring appears to have a rosy future