A Review Study of an Intelligent Strategy Towards Higher Education Examination Management Structure Based on Fog Computing

Universities currently employ manual and partial digital methods for managing examinations, which involve extensive paperwork and consume significant time. This approach raises significant issues, such as time-consuming processes, errors, poor exam and result quality, submission delays, plagiarism, inaccurate grading, and a lack of security. Lecturers face challenges when creating exam questions for every subject every semester, often reusing previous questions without considering their quality, failing educational quality standards. The marking of exam scripts is often rushed to meet deadlines, leading to substandard grading, and the entire process is time-consuming and requires unnecessary effort. Un considerable amount of paper is utilized, and the storage of exam scripts occupies substantial physical space, posing the risk of damage or loss. A novel approach was proposed via Intelligent Green Examination Structure based on fog computing to address these issues. This innovative structure aims to transform traditional examination procedures into an automated, intelligent, and secure system that reduces human involvement and ensures high-quality outcomes. This research focuses on evaluating the effectiveness of an Artificial Intelligence (AI)-powered digital exam management structure based on Fog Computing in enhancing the efficiency and security of exam administration. The structure of this paper begins with a problem discussion, hypothesis, objectives, significance of the research, literature review, and research methodology.