Gaze detection technology uses computer vision and artificial intelligence algorithms to track the movement of a test taker’s eyes. By monitoring a student’s gaze, online proctors can detect instances of collaboration, distraction, or the use of unauthorized materials, and take appropriate actions.
One of the oldest axioms of the computer industry is “Garbage in, garbage out.” The modern equivalent of that truism as it relates to artificial intelligence algorithms is “Bias in, bias out.”
Remote proctoring is under the microscope at educational institutions across the country.
Increasing online learning opportunities in business schools is essential for meeting evolving student needs.
Online test administration for graduate degree programs in health can play a key role in keeping students safe and supporting their career goals while ensuring standards are met.
While online proctoring is opening up new opportunities for students off campus, some proctoring systems can present serious problems.
Widespread use of remote proctoring of exams during the pandemic has brought a furious backlash from some students and faculty.
Many colleges and universities turned to AI-based proctoring software to prevent cheating on remote-learning exams. But to overcome privacy concerns and other problems, technology providers need to listen to the students.
A state-of-the-art online proctoring solution should address the complexities of online test administration and scoring to ensure test validity.