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14 Cards in this Set

  • Front
  • Back
What is Perceptual Motor Learning?
The process of acquisition of skilled movements from practice.
What is Perceptual Motor Control?
The understanding of neural, physical, and behavioral aspects of movement. The process of initiation and control via sensory feedback.
What is learning?
Increased capability to perform a skill. Determined by pre/post tests, efficiency, verbal understanding, cognition.
Motor skills
Activities of tasks that require voluntary movement to achieve a specific goal. Indicates quality of performance. Movements are simply behavioral characteristics of limbs(components of motor skill)
One Dimension Categories of motor skills
Fine vs. Gross (muscle size)
Discrete, Continuous, Serial (defined by start and finish)
Open vs. Closed (is person in control, or have to adjust to environ?)
What is Perceptual Motor Learning?
The process of acquisition of skilled movements from practice.
What is Perceptual Motor Control?
The understanding of neural, physical, and behavioral aspects of movement. The process of initiation and control via sensory feedback.
What is learning?
Increased capability to perform a skill. Determined by pre/post tests, efficiency, verbal understanding, cognition.
Motor skills
Activities of tasks that require voluntary movement to achieve a specific goal. Indicates quality of performance. Movements are simply behavioral characteristics of limbs(components of motor skill)
One Dimension Categories of motor skills
Fine vs. Gross (muscle size)
Discrete, Continuous, Serial (defined by start and finish)
Open vs. Closed (is person in control, or have to adjust to environ?)
Gentile's 2D Taxonomy
1. Environmental a. regulatory conditions stationary or in motion b. inter-trial variation absent or present 2. Action Function a. body orientation, stability or transport b. object manipulation absent or present
Scientific Measurement
1. Problem? 2. Define observable DV 3. Make design under conditions of IV in which DV occurs 4. Observe, Record 5. Inferences about ML
Doctrine of Disproof
1. Alt Hyp 2. Experiments w/ alt outcomes 3. Unambiguous results 4. Repeat
Hypotheses
Alternative: different from what you expect, Null: no significant difference between two groups