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.
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Throughout history the academic exam delivery system has evolved and a need for proactive proctoring was born.
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.
Some proctoring platforms have drawn widespread scrutiny about how they may perpetuate systemic social bias.
Moving from in-person to primarily remote learning poses challenges in administering exams. Universities and colleges have adopted a range of solutions with varying success.
Online proctoring combined with artificial intelligence has presented tremendous opportunities for academic institutions and credentialing bodies alike, but it is not without its flaws.
Online proctoring systems using artificial intelligence promise to help schools keep online tests fair and secure. But the process can deliver mixed results without the right technology.