Functional requirements of Student Performance Analysis System with non-functional

Functional Requirements

1. User Authentication and Authorization
   • Secure Login: Provide secure registration, login, and account management for students, teachers, administrators, and parents.
   • Role-Based Access: Implement role-based access controls to manage permissions based on user roles (e.g., student, teacher, admin).
2. Performance Data Collection
   • Grades and Assessments: Collect and manage data on student grades, test scores, and assessments across various subjects.
   • Class Participation: Track and record student participation and engagement in class activities and discussions.
3. Data Aggregation and Integration
   • Academic Data: Aggregate academic performance data from various sources, such as exams, quizzes, assignments, and projects.
   • Extracurricular Activities: Include data from extracurricular activities and involvement that may impact overall performance.
4. Analysis and Reporting
   • Performance Metrics: Calculate and display performance metrics such as average grades, subject-wise performance, and progress over time.
   • Trend Analysis: Analyze performance trends to identify patterns, improvements, or declines in student performance.
   • Custom Reports: Generate custom reports on student performance, including detailed breakdowns and summaries.
5. Visualization and Dashboards
   • Interactive Dashboards: Provide interactive dashboards for visualizing performance data, trends, and key metrics.
   • Charts and Graphs: Offer various chart types and graphs (e.g., bar charts, line graphs, pie charts) to represent performance data.
6. Comparison and Benchmarking
   • Peer Comparison: Allow comparison of individual student performance with peers or class averages.
   • Benchmarking: Benchmark student performance against historical data or predefined performance standards.
7. Alerts and Notifications
   • Performance Alerts: Send alerts to students, parents, and teachers about significant performance issues or achievements.
   • Reminder Notifications: Provide reminders for upcoming assessments, deadlines, and performance reviews.
8. Feedback and Recommendations
   • Automated Feedback: Generate automated feedback based on performance analysis to provide actionable insights.
   • Personalized Recommendations: Offer personalized recommendations for improvement based on performance data.
9. Integration with Academic Records
   • Data Synchronization: Integrate with existing academic records systems to synchronize performance data.
   • Data Import/Export: Support importing performance data from external sources and exporting data for further analysis.
10. User Interface and Experience
    • Intuitive UI: Design an intuitive and user-friendly interface for easy navigation and interaction.
    • Customizable Views: Allow users to customize their views and dashboards according to their preferences.
11. Access to Historical Data
    • Historical Performance: Provide access to historical performance data to track long-term progress and trends.
    • Historical Comparisons: Enable comparisons between current and historical performance data.
12. Compliance and Security
    • Data Security: Implement robust security measures to protect performance data and user information.
    • Regulatory Compliance: Ensure compliance with data protection regulations and educational standards (e.g., GDPR, FERPA).

Non-Functional Requirements

1. Performance
   • Efficiency: Ensure the system can process and analyze large volumes of performance data efficiently.
   • Response Times: Provide quick response times for data retrieval, analysis, and report generation.
2. Scalability
   • Data Scalability: Scale the system to accommodate increasing amounts of performance data and user interactions.
   • User Scalability: Support a growing number of users, including students, teachers, and administrators.
3. Availability
   • High Availability: Ensure high availability with minimal downtime (e.g., 99.9% uptime).
   • Disaster Recovery: Implement disaster recovery and backup solutions to protect data and ensure continuity.
4. Security
   • Data Protection: Secure performance data and user information through encryption and secure access controls.
   • Compliance: Adhere to data protection regulations and standards to ensure privacy and security.
5. Usability
   • User Interface: Design a user-friendly and intuitive interface for ease of navigation and interaction.
   • Accessibility: Ensure the system is accessible to users with disabilities and provides a consistent experience across devices.
6. Compatibility
   • Cross-Platform Support: Ensure compatibility with various devices (e.g., desktops, tablets, mobile phones) and operating systems.
   • Integration: Integrate seamlessly with other educational tools and systems.
7. Maintainability
   • Modular Design: Maintain a modular and well-documented codebase to facilitate updates and maintenance.
   • Automated Testing: Implement automated testing and continuous integration practices to ensure system stability.
8. Reliability
   • Error Handling: Provide robust error handling and recovery mechanisms to minimize system errors and downtime.
   • Monitoring: Implement monitoring tools to detect and address issues proactively.
9. Compliance
   • Regulatory Compliance: Ensure compliance with relevant educational regulations and data protection standards.
   • Data Privacy: Adhere to data privacy regulations and best practices.
10. Efficiency
    • Resource Optimization: Optimize resource usage (e.g., memory, processing power) to ensure efficient operation and cost-effectiveness.
    • Data Processing: Implement efficient data processing and storage practices.