Peer-Assessed (Evaluated) Automated Grading System

Grading process is a critical yet intricate task for educators. This research addresses the inefficiencies and complexities inherent in the current manual grading approach, focusing on the challenges faced by educators in tasks such as raw score assignment, assessment score calculation, and incorporating peer evaluation. The extensive use of Excel sheets further complicates the process, demanding considerable time and effort. To overcome these challenges, the research proposes the development of an Automated Grading System with advanced features, including batch processing, data visualization, and robust peer evaluation. The literature review delves into existing grading software, emphasizing the need for comprehensive grading solutions that efficiently handle large-scale tasks and offer a seamless user experience. The research outlines a serverless software architecture leveraging cloud computing advantages, emphasizing scalability, cost-efficiency, and reduced operational overhead. The methods and system design section details the implementation of ASP.NET MVC, jQuery, Chart.js, and a User Identity Framework for secure role-based access control. The algorithm, procedure, and batch processing section elucidate the intricate steps involved in calculating assessment scores, incorporating peer evaluation, and determining the overall student grade. By adopting this advanced Automated Grading System, educators can streamline the grading process, reduce manual workload, and enhance overall efficiency. The proposed system addresses the limitations of existing grading software, providing a holistic solution for educational institutions aiming to improve the grading experience for both educators and students.