Advanced International Journal for Research
E-ISSN: 3048-7641
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Volume 7 Issue 1
January-February 2026
Indexing Partners
Smart Assessment Educational Revolutionizing
| Author(s) | Dr. P Anbumani, Tharun Kumar K, Vignesh S, Vignesh R, Sanjay T |
|---|---|
| Country | India |
| Abstract | Static, Quizzes that are based on paper have been widely used as part of traditional classroom methods of assessment which leads to disengagement and retention problems for students, especially in content-heavy subjects like Indian history and culture. Our solution is the “Smart Assessment Board,” an engaging e-learning platform that is dynamic and interactive in nature that aims to revolutionize classroom assessment of the school-aged population. The MERN Stack (MongoDB, Express.js, React.js, and Node.js) is a modern, scalable full-stack system to build the platform utilizing its speed and JavaScript-native development environment to facilitate real-time interactivity. The platform's structure consists of two primary modules: an Administrator Panel for effortless quiz creation and user management, as well as the immediate generation of performance analytics, and a Student Panel for engaging in gamified quizzes with multimedia features. Key functionalities include a central MongoDB repository for scalable data management and a responsive, React.js-based user interface; furthermore, a sophisticated quiz logic for automated scoring was incorporated. Early prototype testing yielded positive user feedback on usability and potential for increased student motivation. The Smart Assessment Board promotes educational engagement and critical evaluation with an uncomplicated and streamlined digital application. In future work, advanced features like personalized learning pathways and augmented reality will be developed. |
| Field | Computer Applications |
| Published In | Volume 6, Issue 6, November-December 2025 |
| Published On | 2025-12-26 |
| DOI | https://doi.org/10.63363/aijfr.2025.v06i06.2768 |
| Short DOI | https://doi.org/hbg69w |
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E-ISSN 3048-7641
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