Skill development uses deliberate practice rather than mere time on task: intense, concentrated, repeated performance compared with an ideal model, with feedback that identifies errors to correct in the next attempt, sustained over a long period. Kolb frames it as mindful experiencing plus focused reflection on a concrete performance analysed against a metacognitive model so that the next action is better, the loop repeating; learning relationships supply models, feedback and support. Realistic time frames matter: expecting a quick fix is the common error, and progress runs through spurts, dips and plateaus.
The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.