Abstract:
This project introduces a Student Feedback Review Management System implemented in Python, designed to facilitate the collection, analysis, and management of feedback from students to improve educational quality. The system leverages Python’s capabilities in web development, database management, and data visualization to create an interactive and efficient platform for students, instructors, and administrators.
The Student Feedback Review Management System features a user-friendly web interface that enables students to provide feedback on courses, instructors, and the overall learning experience. Python’s database management tools, such as SQLite or PostgreSQL, are employed to securely store and manage feedback data, ensuring privacy and compliance with educational regulations.
Key functionalities of the system include real-time feedback submission, automated notifications for instructors and administrators, and a comprehensive dashboard for data analysis. The platform incorporates data visualization tools to generate reports and insights, aiding educational institutions in identifying areas of improvement and recognizing exemplary teaching practices.
The open-source nature of the implementation encourages customization and integration with existing educational systems. The research evaluates the system’s performance in terms of responsiveness, security, and user satisfaction, ensuring its effectiveness in fostering a continuous feedback loop for educational improvement.
By providing a Student Feedback Review Management System in Python, this project contributes to the enhancement of educational quality through increased stakeholder engagement. The system serves as a valuable tool for educational institutions, promoting transparency, accountability, and collaborative efforts to create an environment that aligns with the evolving needs and expectations of students and educators.