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.
<p id="">From not being able to validate the <a href="https://www.theverge.com/2021/4/8/22374386/proctorio-racial-bias-issues-opencv-facial-detection-schools-tests-remote-learning" target="_blank" id="">faces of people of color</a> to <a href="https://www.rosalyn.ai/blog/online-test-administration-software-cheating-prevention-and-student-dignity-ros" target="_blank" id="">flagging potential cheating</a> because a mother responded to her child during an online exam, problems with remote invigilation abound. But, it doesn’t have to be this way—better engineering and an equity mindset point to solutions.<br></p><p id="">When we say “discrimination,” we are talking about bias. There is the potential for conscious or unconscious biases of the developers in any automated system to encode bias into that system. In the remote proctoring world, these biases may result in people with darker skin not recognized by the system. Students who are neurodivergent with ADHD or Tourette’s may have their symptoms flagged as suspicious behavior. Students working on older computers or low bandwidth connections may be prevented from taking an exam. Remote proctoring discrimination is especially pernicious in AI systems because there is no way to root it out by examining the source code. The source code is an amalgamation of data and algorithms inscrutable to human beings without the proper development methodology.</p><p id="">Developers of online proctoring systems can do a lot to minimize bias in online proctoring systemsand ensure that all students are treated fairly when artificial intelligence systems monitor their test sessions.</p>
<p id="">Once the stuff of science fiction, artificial intelligence has become a part of our everyday lives. But the ethics and validity of AI-driven online proctoring solutions have many students and faculty questioning its reliability. Complex online proctoring AI issues have forced many institutions to wonder: is AI the best choice?</p>
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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.