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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Nexford University is an online educational institution that offers affordable and quality education using AI technology. They sought to obtain DC accreditation, which required learner identity verification through proctoring assessment services. Nexford chose Rosalyn AI as their proctoring system because it integrates with their learning management system and simplifies the assessment process for professors. Nexford values accessibility to education, and Rosalyn's team and quick response to issues have made them a good fit.
An exploration of the familial relationship between the trending Chatgpt and assessment proctoring leader, Rosalyn AI.
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.
Proactive Fraud detection is key to the future of higher education due to the demand for institutional integrity, quality assurance of programs offered, as well as the promised protection of the financial and academic interests of both student and stakeholder.
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.