Chapter 12: The Stages of Learning
1 Overviews
1.1 Objective 1: Learning Stages Models
Describe characteristics of learners as they progress through the stages of learning as proposed by Fitts and Posner, Gentile, and Bernstein.
1.2 Objective 2: Performer & Performance Changes
Describe several performer- and performance-related changes that occur as a person progresses through the stages of learning a motor skill.
1.3 Objective 3: Motor Skill Expertise
Discuss several characteristics that distinguish an expert motor skill performer from a nonexpert.
2 Introduction: The Journey of Skill Acquisition
Have you ever noticed that a professional athlete or a master musician often has a difficult time teaching a beginner? This paradoxical “expert’s amnesia” occurs because, for the expert, the skill has become so automatic that they no longer consciously process the fundamental steps. To be an effective practitioner—whether a coach, physical therapist, or teacher—you must be able to view the skill through the eyes of the beginner Magill and Anderson (2024).
Imagine you are a physical therapist working with a stroke patient. While you are a skilled “performer” of locomotion, the patient is essentially a beginner relearning to walk. To facilitate success, you must ensure your instructions and feedback are in harmony with the patient’s current stage of learning. This chapter explores the predictable path of skill acquisition, moving from the initial “problem-solving” phase to the refinement of coordination and, for some, the achievement of elite expertise.
3 Three Perspectives on the Stages of Learning
3.1 The Fitts and Posner Three-Stage Model
Presented in 1967, this remains the classic model of motor learning. It describes a progression through three distinct stages along a continuum of practice time Magill and Anderson (2024).
- Cognitive Stage: The beginner’s primary goal is to understand “what to do.” You might find yourself asking: Where should my arm be? How high do I toss the ball? This stage is marked by high cognitive activity, numerous large errors, and high performance variability. Beginners often know they are doing something wrong but lack the “know-how” to fix it.
- Associative Stage: Often called the refinement stage. The learner now focuses on “how to do it.” They begin to associate environmental cues with the movements required. Errors are smaller and less frequent, and performance becomes more consistent. Crucially, learners begin to detect their own errors.
- Autonomous Stage: The skill becomes habitual or automatic. The performer no longer needs to consciously think about the mechanics, allowing them to perform secondary tasks—like holding a conversation while typing—without degrading the primary skill Magill and Anderson (2024).
3.2 Gentile’s Two-Stage Model
Ann Gentile (1972, 2000) focused on the learner’s goals during each stage Magill and Anderson (2024):
3.2.1 Initial Stage
The beginner has two goals:
- Acquire a movement coordination pattern: Developing movements that match the regulatory conditions (environmental features that dictate movement, such as the size of a cup or the height of a hurdle).
- Discriminate between conditions: Learning to ignore nonregulatory conditions (features that don’t influence movement, such as the color of a ball or the noise in a gym).
3.2.2 Later Stages
The goal shifts based on the stability of the environment:
- Closed Skills (Fixation): For skills performed in stable environments (e.g., throwing a dart), the goal is to “fixate” the movement pattern so it is consistent and economical every time.
- Open Skills (Diversification): For skills in changing environments (e.g., soccer dribbling), the goal is “diversification”—acquiring the capability to modify the movement pattern to meet varying spatial and temporal demands.
3.3 Bernstein’s Perspective: Repetition Without Repetition
Nikolai Bernstein described learning as “solving a motor problem.” He famously argued that practice is not about repeating the means of solving a problem, but rather repeating the process of its solution. He described a complex progression through multiple phases Magill and Anderson (2024):
- Leading Level: Determining which level of the motor control system takes the lead (usually the “Actions” level).
- Plan Development: Developing a strategy for the skill and recruiting muscular synergies.
- Sensory Corrections: Identifying how the skill should feel from the inside.
- Automatization: Handing over control to background levels (automatisms).
- Harmony: Achieving mutual adjustment between background corrections and the lead level.
- Standardization/Stabilization: Using reaction forces to counteract external disturbances, leading to dynamic stability and a massive reduction in effort.
4 Performer and Performance Changes Across Stages
As a learner progresses, profound changes occur in how they move, how much energy they use, and where they direct their attention.
4.1 Rate of Improvement: The Power Law of Practice
Improvement is typically rapid in early practice and slows significantly as skill increases. This is formalized as the Power Law of Practice Magill and Anderson (2024).
- Cigar Maker Study: Crossman (1959) tracked workers making cigars. Those who had made 10 million cigars over seven years were still improving, though the vast majority of their progress happened in the first two years.
- Pedalo Task: Chen et al. (2005) found that when learning a pedalo (a wheeled balance task), movement time decreased rapidly on the first two days but leveled off significantly thereafter.
4.2 Movement Coordination: Freezing vs. Freeying
To control the many “degrees of freedom” (joints and muscles) in a complex task, beginners often use a strategy called “freezing the degrees of freedom”—holding joints rigid to simplify the move Magill and Anderson (2024).
- Example: A beginner racquetball player may lock their wrist and elbow, moving the arm like a stick.
- Refinement: With practice, they “free” these joints, allowing them to work together as a functional synergy. In soccer, beginners kick with rigid hips/knees; experts “unfreeze” these joints to exploit momentum and increase striking velocity.
4.3 Efficiency: Muscles, Energy, and Energy Recovery
- Muscle Activation: Beginners use too many muscles and fire them with poor timing. Practice reorganizes the system so only the necessary muscles fire at the exact right moment. This reduces the amount of work the motor control system must perform Magill and Anderson (2024).
- Metabolic Energy: Skilled performers use less oxygen (metabolic energy) and report a lower Rate of Perceived Exertion (RPE). In rowing, novices use significantly more oxygen for the same work rate compared to experts Magill and Anderson (2024).
- Mechanical Energy Recovery: Experts use passive forces like gravity and inertia. For instance, toddlers recovering only 50% of mechanical energy during walking compared to adults who exploit the “inverted pendulum” mechanism to save energy Magill and Anderson (2024).
4.4 Visual Selective Attention and Focus
Practice changes where and what we look at.
- Goalkeeper Study: Savelsbergh et al. (2002) found that expert soccer goalkeepers make fewer fixations of longer duration, focusing specifically on the kicker’s head, non-kicking foot, and the ball. Novices, conversely, focus on irrelevant areas like the trunk or arms Magill and Anderson (2024).
- Attention Demands: In the cognitive stage, the skill requires full conscious attention. In the autonomous stage, this demand drops. A study by Shinar et al. (1998) showed that novice drivers of manual cars missed traffic signs that experienced drivers detected easily because the novices were focused on the mechanics of gear shifting.
4.5 Error Detection and Brain Plasticity
- Correction Capability: Experts can feel a mistake and correct it “on the fly” or guide future attempts. Skilled gymnasts walking a balance beam without vision perform much better than novices because they have developed superior internal error-detection mechanisms Magill and Anderson (2024).
- Brain Plasticity: Functional MRI (fMRI) shows that brain areas active during early learning (often the cerebellum) are different from those active during automatic performance (often the basal ganglia/striatum). This shift reflects the brain’s plasticity—its ability to reorganize its neural structure in response to learning Magill and Anderson (2024).
5 What Doesn’t Change: Sensory Feedback Reliance
While many things change, one characteristic persists: a reliance on the sensory feedback available during the initial stage of practice. If a learner practices an aiming task with vision, removing vision later causes performance to drop significantly—even after 2,000 practice trials. The sensory information becomes an integrated part of the memory representation of the skill Magill and Anderson (2024).
6 The Nature of Expertise
Expertise is the peak of the learning continuum, requiring at least 10 years of deliberate practice—intense, focused training designed to improve specific aspects of performance. Expertise is domain-specific; a world-class swimmer does not necessarily transfer their expertise to another sport Magill and Anderson (2024).
6.1 Resisting Automaticity
True experts actually avoid the “stagnation” of total automaticity. While everyday learners are happy to reach a “good enough” level, experts “recycle” through earlier stages in a sophisticated way to maintain conscious control and continue making improvements Magill and Anderson (2024).
6.2 The Mystery of Skill Loss: “Steve Blass Disease”
Named after the Pittsburgh Pirates pitcher who suddenly and inexplicably lost his ability to control his pitches in 1973, this condition represents a bizarre reversal of learning. It is often attributed to the detrimental effects of suddenly focusing on the mechanics of a well-learned skill (internal focus) rather than its effects (external focus), which can lead to “choking” Magill and Anderson (2024).
6.3 Frequently Asked Questions
Bernstein meant that you aren’t repeating the exact same movement; rather, you are repeating the process of solving the motor problem under different conditions until it becomes standardized and stable Magill and Anderson (2024).
It refers to the many independent components (joints, muscles, motor units) that must be controlled to produce a movement. Learning is the process of coordinating these components into a functional synergy Magill and Anderson (2024).
This is “expert’s amnesia.” Because the expert is in the autonomous stage, their skill is habitual and automatic. They lack the conscious awareness of the individual steps that they had when they were in the cognitive stage Magill and Anderson (2024).
Early learning often triggers high activity in the cerebellum and cortical areas involved in problem-solving. As the skill becomes automatic, activity shifts to the basal ganglia (striatum), and overall cortical activity decreases as efficiency increases Magill and Anderson (2024).
Ericsson argues it is necessary for achieving elite, world-class performance. It involves years of intense, individualized training designed to push a performer just beyond their current capabilities Magill and Anderson (2024).
7 References
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