Spaced repetition exam prep — how predicted score works
Two students at 80% accuracy can have different pass chances. Here is why we weight recency, difficulty, and timing.
1. After you answer
We log difficulty, correctness, and response time.
2. Requeue rules
Misses and slow items return sooner in review.
3. Recency weight
Recent sessions influence the headline score more than old streaks.
| Days | Retention no review | With SGrade spacing |
|---|---|---|
| 0 | 100% | 100% |
| 1 | 45% | 80% |
| 3 | 28% | 78% |
| 7 | 18% | 76% |
0
1
3
7
Outcome snippet: users who reached 85%+ predicted pass score passed NCLEX on first attempt at ~93% in a 1,400+ user sample — correlation, not a promise. Read first-attempt data →
What is spaced repetition?
A schedule that brings items back right before you forget them, maximising retention per minute studied.
Does spaced repetition work for exam prep?
Yes when paired with exam-difficulty items and mixed practice — not flashcards alone.
How is a predicted score different from accuracy percentage?
Accuracy ignores item difficulty and speed; predicted score weights your pattern toward exam-scale outcomes.
How accurate is SGrade’s predicted score?
It correlates with outcomes in our cohorts — not a guarantee. Use it as a directional compass.
See your predicted score after question one.
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