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.
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.
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.