Exam Document

Exam document research focuses on improving the efficiency, security, and accessibility of examinations, encompassing both traditional paper-based and increasingly prevalent online formats. Current research explores AI-driven solutions for automated grading, proctoring, and accessibility enhancements, leveraging techniques like deep learning (including transformer models and convolutional neural networks), computer vision, and natural language processing. These advancements aim to reduce administrative burdens, enhance exam security, and ensure equitable access for all students, impacting education, recruitment, and other assessment-heavy fields.