Principle
Train accuracy before adding speed when errors are still structural
Speed rehearses whatever rule is already running.
When it fits
- When a learner tries to become faster while still using an unreliable decision rule.
When to avoid it
- Some domains require early speed–accuracy trade-offs or real-time coordination. Use domain standards rather than a universal accuracy-first sequence.
Why it matters
First make the decision process accurate enough that common errors are understood and corrected. Then add realistic time constraints and watch whether accuracy survives. If speed pressure revives structural errors, step back to the decision cue rather than simply demanding more repetitions.
An example
A presenter first learns to state a recommendation with complete evidence; only then practises fitting the same reasoning into a two-minute answer.
Check your result
The learner can increase pace without losing the criterion that mattered at the slower baseline.
Keep this limit in mind
- Some domains require early speed–accuracy trade-offs or real-time coordination. Use domain standards rather than a universal accuracy-first sequence.
Evidence and sources
A meta-analysis of adaptive training found that effects varied by instructional intervention, with adaptive difficulty showing the strongest results among the examined categories.
The literature was heterogeneous and much of the context was military training; this does not validate every adaptive-learning product.
Adaptive training instructional interventions: A meta-analysis · Abstract
A meta-analysis found deliberate practice explained meaningful but limited variance in performance, with much smaller shares in education and professions than in games, music and sports.
The result argues against an hours-only expertise claim; it does not show that structured practice is useless.