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Sport is complex.
Athletes are constantly required to perceive information, make decisions, organize their bodies, and adapt their movement solutions based on what is happening around them. The question for coaches is: How do we prepare athletes for complexity without immediately overwhelming them with complexity? Two approaches often used in motor learning are task decomposition and task simplification. Although both can make a difficult task more manageable, they accomplish it in very different ways. Task Decomposition Task decomposition involves breaking a complex movement problem into smaller, isolated components. Instead of practicing the complete task, we remove certain elements and train individual pieces separately. A common example in athletic development is a closed change of direction drill. The athlete may know:
The physical movement may resemble something that occurs during competition, but much of the information that normally regulates that movement has been removed. There is no opponent to read. There is no space to protect or attack. There is little uncertainty. There may be no meaningful decision. The movement has been separated from the environment that normally gives it purpose. This doesn’t mean decomposition can never have value. There may be situations where temporarily isolating a component allows an athlete to explore or develop a particular physical capacity. The problem occurs when isolated movement becomes the destination rather than a bridge toward more representative behavior. Task Simplification Task simplification takes a different approach. Instead of breaking the problem apart, we keep the problem intact while reducing its complexity. The athlete still has to perceive. The athlete still has to decide. The athlete still has to act. But the environment is manipulated so the problem is more manageable for the individual. At The U of Strength, this may involve manipulating:
Instead of removing perception and decision-making, we adjust the environment around them. Simplify the Environment, Not the Athlete Consider a developing youthlete learning to solve a 1v1 situation. We could begin with a predetermined cone drill. The athlete knows where to run and where to cut. They can repeatedly practice the movement pattern, but the decision has already been made for them. Or we could create a simplified 1v1. Reduce the playing space. Slow the starting velocity. Give each participant one clear objective. Limit the number of possible outcomes. Now the activity is easier to manage, but something important remains:
Perception & Action Remain Connected This distinction matters because movement in sport does not occur independently of information. Athletes perceive to act and act to perceive. An offensive athlete changing direction because a defender closes space is solving a different problem than an athlete changing direction because a cone tells them where to cut. The physical shapes might occasionally look similar. The process that created them is not. When we completely remove the information surrounding movement, we risk training the movement separately from the perceptual information that gives it meaning. Task simplification allows us to reduce difficulty while maintaining this perception-action relationship. Complexity Should Be a Dial Representative training does not mean every activity needs maximum chaos. More uncertainty isn’t automatically better. More participants aren’t automatically better. Faster isn’t automatically better. Complexity should be treated as a dial rather than an on/off switch. For inexperienced athletes, we can turn the dial down. As their action capabilities and experience develop, we can gradually turn it up. Add space. Increase velocity. Introduce another participant. Expand the available choices. Change the numerical relationship. Create an advantage or disadvantage. Manipulate the rules. Increase uncertainty. The environment grows alongside the athlete. This allows us to expose youthletes to uncertainty without throwing them immediately into situations they aren’t prepared to solve. Build Toward the Messiness of Sport The goal isn’t to make training complicated simply because sport is complicated. The goal is to create an appropriate relationship between the athlete and the problem. Sometimes that means reducing velocity. Sometimes it means reducing the number of participants. Sometimes it means shrinking the space or simplifying the rules. But whenever possible, we want to preserve the information that allows athletes to perceive, decide, and adapt. Don’t automatically break the movement into pieces. Simplify the problem. Scale the environment. Manage the uncertainty. Then gradually expose the athlete to more information and more possible solutions. Because eventually, the game gets messy. Our job is to help athletes become comfortable solving problems when it does.
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AuthorJamie Smith is a proud husband and father, passionate about all things relating to athletic development and a life long learner, who is open to unorthodox ideas as long they are beneficial to his athletes. Categories
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