Online Exam

Online exam administration is evolving rapidly, driven by the need to ensure exam integrity and efficiency in both educational and professional settings. Current research focuses on developing automated proctoring systems using AI techniques like reinforcement learning and computer vision to detect cheating behaviors such as looking away from the screen or unauthorized collaboration, often incorporating multi-modal data (gaze, posture, audio, background). These advancements aim to improve the security and scalability of online assessments while reducing the reliance on human proctors, impacting fields ranging from education to recruitment. Furthermore, research explores efficient methods for automated grading and analysis of online exams, including image processing techniques for paper-based assessments.