QUIZ AND ASSESSMENT APPLICATION USING MERN

Abstract

In the rapidly evolving context of digital education and e-learning, the need for a more robust, interactive and scalable assessment platform is becoming increasingly clear. This article presents the construction and implementation of a quiz and evaluation application, presented in Mern Stack Mongodb, Express.js, React.js, node.js. It has been developed. The purpose of this application is to provide a comprehensive solution for efficient implementation of online reviews, providing both academic and corporate training environments. The system architecture follows modular and component-based designs that ensure separation of concern and maintainability. Developed with React.JS, FrontEnd offers a responsive and dynamic user interface that supports a variety of question formats, including multiple selection, True/False, and description types. The backend built with node.js and express.js manages business logic, handles relaxed APIs, and ensures secure authentication and authorization with JWT. MongoDB as a NOSQL database stores questions and user data, making it more flexible and scalable. The application offers essential features such as real-time and timer-based quiz assessments, role-based access for students and administrators, result analysis, and comprehensive dashboards for managing users and quizzes. It also implements crucial security practices like input validation.