Synergy Engine
Dynamic coupling of CAT (Computerized Adaptive Testing) with Desirable Difficulties for optimal learning curves
How It Works
1. CAT measures real-time performance
2. Difficulty Adjuster applies Desirable Difficulties principles (not too easy, not too hard)
3. Synergy Metric = correlation between performance drop & learning gains (not inverse relationship)
4. Optimal sweet spot: 75-85% success rate where struggle = learning
Performance-Difficulty Coupling
- Performance %
- Difficulty %
Synergy Quality Index
Strong Coupling
Difficulty rises with performance → Learning = 8.5/10
Weak Coupling
Difficulty static → Learning = 4.2/10
Misalignment
Difficulty inversely correlated → Learning = 2.1/10
Active Sessions
Session 1
Difficulty: High (90%)
Match: 95%
Strong
Session 2
Difficulty: Medium (70%)
Match: 78%
Moderate
Session 3
Difficulty: Low (50%)
Match: 92%
Weak
