Stress Analysis in Online Examination using Deep Learning Approach

Nowadays, learning has changed its mode from offline to online, i.e., e-Learning. This e-learning has become more popular during the pandemic situations. Many platforms offer online exams and proctored exams, which are used at schools and colleges. Students' stress levels will be ordinarily high during examinations, whether offline or online, and the percentage of stress levels will be based on the students' cognitive behavior, subject knowledge, and the difficulty level of the questions. This study aims to propose a system for accurate stress level detection among students during the exam, thereby analyzing the impact of stress on their exam performance and scoring.