Grade-Curve Scaler
Flat-add, square-root, or linear rescale-to-target-mean grade curve, clamped to [0, 100].
Example
You enter
- Method sqrt
- Raw score (0-100) 49
You get
- Curved score 70
Details, formula, and sources
Estimate only; the instructor's gradebook governs.
Flat: new = raw + k. Square-root: new = 10 * sqrt(raw). Linear rescale: a = (100 - target)/(100 - mean), b = 100(1 - a), new = raw*a + b (class mean -> target, 100 anchored at 100). All clamped to [0, 100].
Standard psychometric score-scaling methods (flat, square-root, linear rescale), by practice.
Public; the scaling formulas are standard classroom and psychometric practice.
Estimate only. Readability formulas and similar metrics are derived from a representative population and have known edge-case noise. The classroom teacher governs final text selection, grade placement, and assessment decisions.
Field names used by the API: method, raw_score, curved
- Clamp the curved score is clamped to [0, 100]; the square-root curve only raises scores below 100score-scaling practice