Adaptive Testing Analytics
Comprehensive analytics and reporting for adaptive testing performance and effectiveness.
Performance Analytics
Individual Analysis
- Ability Estimation: Statistical estimate of user's true ability
- Performance Trajectory: How performance changed during the exam
- Topic Mastery: Strength and weakness analysis by subject area
- Efficiency Metrics: Questions needed to reach reliable assessment
Comparative Analysis
- Peer Comparison: Performance relative to similar users
- Historical Comparison: Current vs previous performance
- Benchmark Analysis: Performance against established standards
- Cohort Analysis: Group performance patterns and trends
Adaptive Effectiveness
Algorithm Performance
- Adaptation Accuracy: How well difficulty matched user ability
- Convergence Speed: How quickly the system found optimal difficulty
- Question Efficiency: Quality of question selection decisions
- Coverage Analysis: How well the exam covered required topics
System Optimization
- Threshold Analysis: Optimal performance thresholds for advancement
- Question Pool Analysis: Question difficulty and discrimination statistics
- Algorithm Tuning: Statistical analysis for parameter optimization
- Predictive Accuracy: How well the system predicts final performance
Reporting Features
Real-Time Dashboards
- Live Progress: Monitor user progress during adaptive exams
- Performance Alerts: Notifications for users needing intervention
- System Status: Monitor adaptive algorithm performance
- Question Generation: Track AI question generation statistics
Comprehensive Reports
- Individual Performance: Detailed user performance analysis
- Group Performance: Department or cohort analysis
- System Performance: Adaptive algorithm effectiveness
- Question Analytics: Question pool quality and usage statistics
Advanced Analytics
Machine Learning Insights
- Pattern Recognition: Identify common performance patterns
- Predictive Modeling: Predict final scores early in the exam
- Anomaly Detection: Identify unusual performance patterns
- Optimization Recommendations: Suggest system improvements
Research Applications
- Validity Studies: Statistical validation of adaptive algorithms
- Reliability Analysis: Consistency and repeatability metrics
- Fairness Analysis: Ensure equitable treatment across demographic groups
- Longitudinal Studies: Track learning progress over time