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Intelligent Question Paper Generation System for Enhancing Educational Assessment Efficiency

Authors:

1^st M. Vasuki, 2^nd DHINAKAR R

1Associate Professor, Department of computer Applications,

Sri Manakula Vinayagar Engineering College (Autonomous), Puducherry 605008, India dheshna@gmail.com

2Post Graduate student, Department of computer Applications,

Sri Manakula Vinayagar Engineering College (Autonomous), Puducherry 605008, India dhinakardhinakar315@gmail.com

ABSTRACT: Creating question papers manually is a labor-intensive, time-consuming, and often error-prone task that lacks the level of customization needed to meet the diverse requirements of modern educational institutions. To solve this problem, the Online Question Paper Generation System offers an innovative and efficient solution for automating the process of question paper creation. The system allows educators to easily design and generate customized question papers by selecting questions from a prebuilt, categorized question bank, with options to filter based on subjects, topics, and difficulty levels. A key feature of the system is its ability to randomize question order, ensuring that each student receives a unique question paper, promoting fairness and reducing the risk of cheating. Additionally, the system integrates user authentication for secure access, a question bank management feature for organizing questions, and tools for analyzing student performance based on the generated exams. By significantly reducing manual labor, the system not only saves time but also enhances exam integrity and consistency, while providing an efficient solution for handling large volumes of question paper creation across various subjects and academic levels. The use of Python for development ensures that the platform is robust, flexible, and scalable, with a user-friendly interface that simplifies the paper generation process. This system ultimately helps educators maintain a high standard of education by improving the quality of examinations, making exam paper generation faster, more accurate, andadaptable to different educational needs.

Keywords Online Question Paper Generation, Automated Exam Creation, Question Bank Management, Randomized Question Papers, Subject-wise Filtering, Difficulty Level Categorization, User Authentication, Student Performance Analysis, Python-based Development, Secure Access Control, Educational Assessment Tools, Customizable Exam Templates, Scalable Exam Solutions, Digital Examination System