Evidence for Performance and skill learning #

Every substantive claim on the Performance and skill learning page is checked against current research. Here is each claim, how well today’s evidence supports it, and the sources. The full, de-duplicated source list lives on the references page.

Supported · strong evidence — Learning a motor or cognitive skill normally progresses through stages, from slow, verbally-mediated, effortful performance toward fast, automatic performance that frees attention for other tasks.

The Fitts and Posner cognitive-associative-autonomous account, later formalised by Anderson’s work on skill automatisation, remains the standard textbook model of skill acquisition and is reflected in current motor-learning and cognitive-science reviews.

Sources: Schmidt, Lee, Winstein, Wulf & Zelaznik (2018), Motor Control and Learning: A Behavioral Emphasis, 6th ed., Human Kinetics · Taylor & Ivry (2012), The role of strategies in motor learning, Annals of the New York Academy of Sciences — https://doi.org/10.1111/j.1749-6632.2011.06430.x · full reference ›

Supported · moderate evidence — Skill is built largely through extended, structured practice rather than innate talent alone, and the kind of practice that targets weaknesses with feedback (deliberate practice) is associated with higher attained performance.

Ericsson, Krampe and Tesch-Romer’s deliberate-practice framework is foundational and well supported as a description of how expert skill is built; later meta-analyses (e.g. Macnamara et al.) confirm practice is a substantial but not sole predictor, so the qualified claim that structured practice strongly drives skill is well established.

Sources: Ericsson, Krampe & Tesch-Romer (1993), The role of deliberate practice in the acquisition of expert performance, Psychological Review — https://doi.org/10.1037/0033-295X.100.3.363 · Macnamara, Hambrick & Oswald (2014), Deliberate Practice and Performance in Music, Games, Sports, Education, and Professions: A Meta-Analysis, Psychological Science — https://doi.org/10.1177/0956797614535810 · full reference ›

Supported · moderate evidence — Breaking a complex skill into component sub-tasks, practising them, and recombining them (part-task training) is an effective way to learn skills, particularly when components are relatively independent.

Part-task training is well established and effective for serial or separable tasks, but the literature (Wightman & Lintern; Schmidt & Lee) is clear that for highly integrated, continuous tasks whole-task practice can be superior, which is why the page notes decomposition does not always help.

Sources: Wightman & Lintern (1985), Part-Task Training for Tracking and Manual Control, Human Factors — https://doi.org/10.1177/001872088502700301 · Schmidt & Lee (2011), Motor Control and Learning: A Behavioral Emphasis, 5th ed., Human Kinetics · full reference ›

Supported · moderate evidence — Practising several tasks or variations in a varied, interleaved order (high contextual interference) depresses performance during acquisition but improves retention and transfer compared with blocked, repetitive practice.

The contextual-interference effect is well replicated in laboratory motor tasks since Shea and Morgan, though its magnitude is smaller and less consistent in applied and sport settings, so the principle is sound while the size of the benefit varies by task and skill level.

Sources: Shea & Morgan (1979), Contextual interference effects on the acquisition, retention, and transfer of a motor skill, Journal of Experimental Psychology: Human Learning and Memory — https://doi.org/10.1037/0278-7393.5.2.179 · Brady (2008), The Contextual Interference Effect and Sport Skills, Perceptual and Motor Skills — https://doi.org/10.2466/pms.106.2.461-472 · full reference ›

Supported · moderate evidence — Practising a skill under varied conditions, rather than a single fixed condition, improves the ability to transfer the skill to new situations even though it can slow initial acquisition.

Variability-of-practice predictions from schema theory are broadly supported: varied practice generally enhances generalisation and transfer relative to constant practice, with the trade-off of poorer acquisition-phase performance, as summarised in current motor-learning texts.

Sources: Schmidt & Lee (2011), Motor Control and Learning: A Behavioral Emphasis, 5th ed., Human Kinetics · Czyz (2021), Variability of Practice, Information Processing, and Decision Making—How Much Do We Know?, Frontiers in Psychology — https://www.frontiersin.org/articles/10.3389/fpsyg.2021.639131/full · full reference ›

Supported · moderate evidence — Continuing to practise after reaching correct performance (overlearning) increases the durability of a skill and its robustness under retention intervals, stress or distraction.

Driskell, Willis and Copper’s meta-analysis found overlearning reliably improves retention, with the benefit larger soon after training and decaying over long delays; it is a real but bounded effect, strongest for procedural tasks performed under pressure.

Sources: Driskell, Willis & Copper (1992), Effect of overlearning on retention, Journal of Applied Psychology — https://doi.org/10.1037/0021-9010.77.5.615 · full reference ›

Supported · strong evidence — Established habits are triggered automatically by context, so changing a habit requires interrupting the cue-response link and deliberately substituting a new response rather than relying on willpower alone.

Contemporary habit science (Wood & Runger; Lally et al.) establishes that habits are cue-driven automatic responses and that disrupting the cue, altering the context, and rehearsing a replacement response are the effective levers for behaviour change, matching the page’s stepwise substitution approach.

Sources: Wood & Runger (2016), Psychology of Habit, Annual Review of Psychology — https://doi.org/10.1146/annurev-psych-122414-033417 · Lally, van Jaarsveld, Potts & Wardle (2010), How are habits formed: Modelling habit formation in the real world, European Journal of Social Psychology — https://doi.org/10.1002/ejsp.674 · full reference ›

Supported · moderate evidence — A consistent pre-performance routine (a brief, repeatable sequence of breathing, attention and physical preparation) can stabilise a performer’s state and improve execution of an already-learned skill under pressure.

Sport-psychology reviews report that structured pre-performance routines tend to improve performance on self-paced skills, though effects vary in size and mechanism; this is the evidence-based replacement for the page’s former NLP anchoring/modelling framing, which lacks empirical support.

Sources: Cotterill (2010), Pre-performance routines in sport: current understanding and future directions, International Review of Sport and Exercise Psychology — https://doi.org/10.1080/1750984X.2010.488269 · Rupprecht, Troster, Voelcker-Rehage & Lobinger (2021), Pre-performance routines: A systematic review, International Review of Sport and Exercise Psychology — https://doi.org/10.1080/1750984X.2021.1944271 · full reference ›