Design practice conditions that enhance feelings of competence

Structure early practice so it produces more success experiences — competence feeling drives motor learning.

Why it works

OPTIMAL theory adds a motivational pathway to the attentional one: feelings of competence during practice activate dopaminergic reward systems associated with consolidation of new motor patterns. Practice conditions that are too difficult (producing mostly failure) suppress this reward signal and slow learning. Enhanced expectancy of success — created by earlier success experiences, positive feedback, and appropriate task difficulty — accelerates motor learning through this neurochemical pathway.

How to do it

1. Design early practice stages with a success rate of approximately 70-80% — difficult enough to challenge, easy enough to succeed regularly.
2. Provide accurate positive feedback when movement quality warrants it — do not falsify, but do not withhold.
3. Schedule "confidence sessions" (returning to slightly easier versions of the skill) when learning plateaus, to rebuild the competence signal before advancing.
4. Frame practice tasks as explorations ("try and see what happens") rather than tests ("perform correctly"), which increases willingness to attempt.

Evidence

Enhanced expectancy of success improves motor learning in multiple OPTIMAL-framework experiments. The neurochemical mechanism (dopamine and motor consolidation) is supported by neuroscience research on reward and learning, though the connection to OPTIMAL practice conditions is partially inferential. (observational)

The OPTIMAL theory is relatively recent (2016) and some predictions about enhanced expectancy are still being tested; it should be treated as a developing framework, not fully established.

Sources

• Wulf & Lewthwaite (2016), optimizing performance through intrinsic motivation and attention for learning: the OPTIMAL theory, Psychonomic Bulletin & Review

Common mistake

Structuring practice to maximize difficulty in the belief that harder practice always produces more learning — extreme difficulty reduces success rate, suppresses the competence signal, and can slow learning relative to moderate difficulty.