Online exam collusion. Explore our guide today.

Online exam collusion. Here we develop an optimization-based anti-collusion approach for distanced online testing (DOT) by minimizing the collusion gain, which can be coupled with other techniques for cheating prevention. This paper presents two simple data-driven techniques to analyze exam event logs and essay-form answers. While the intuitively natural approach to prevent collusion by assigning questions randomly in fixed time slots is well known, it is demonstrably sub-optimal in lowering collusion in online testing. Here we develop an optimization-based anti-collusion approach for distanced online testing (DOT) by minimizing the collusion gain, which can be coupled with other techniques for cheating prevention. Feb 27, 2025 · Learn how to detect and address student collusion within your institution using effective strategies and tools. Prior research indicates that collusion occurred in four fifths of cheating events. There are many kinds of cheating tricks but collusion is much more popular than other types of cheating behaviors in online exams. They visually compare the event logs of pairs of students and quantify these by calculating a distance measure. Jingwen Qian of Google, Sujoy Sikdar of Binghamton University, Ge Wang, FNAI of Rensselaer Polytechnic Institute, and Lirong Xia of Rutgers University–New Brunswick have developed a new approach to address the problem of minimizing collusion gain — the increase in students’ test scores when they cheat by colluding with each other — in Recent work from [3] presents a method for analysing exam event logs for the detection of collusion in unproctored exams. Explore our guide today. jxgn sc15 otccx wf jef oi8qo iyudxjc 9ok gcll oloweyhkl