ISE Motor Learning and Control Concepts and Applications 2024 Release By Richard Magill, David Anderson
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- 623
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- 4.88 MB
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- Digital PDF
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- Education
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- eBook[PDF]
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About this ebook
The ISE Motor Learning and Control Concepts and Applications 2024 Release By Richard Magill, topics covered
1. Introduction to Motor Skills and Abilities
- Classification of Motor Skills: Categorising skills based on precise parameters (e.g., fine vs. gross motor skills, open vs. closed environments).
- Measurement of Motor Performance: Methods, metrics, and error measures used to evaluate performance.
- Motor Abilities: Identifying individual talent profiles and genetic vs. learned traits. [1]
2. Introduction to Motor Control
- Neuromotor Basis: The underlying neurological systems and physiological mechanisms that drive human movement.
- Theories of Motor Control: Overview of motor program theories and dynamic pattern perspectives.
- Sensory Components: The pivotal roles of vision, proprioception, and touch in guiding movement.
- Functional Skills: Performance characteristics of daily, athletic, or clinical motor functions.
- Action Preparation: The physiological and cognitive steps the central nervous system takes before initiating a movement. [1]
3. Attention and Memory
- Attention Capacity: Focus limitations, selective attention, and multitasking during physical actions.
- Memory Structure: Processes regarding working memory, long-term memory, and mechanisms of forgetting.
- Memory Strategies: Techniques designed to enhance memory storage, consolidation, and retrieval of motor skills. [1]
4. Introduction to Motor Skill Learning
- Defining and Assessing Learning: Distinguishing temporary performance fluctuations from permanent skill acquisition.
- Stages of Learning: Cognitive, associative, and autonomous phases of movement mastery.
- Transfer of Learning: How practicing one skill or condition influences performance in another context. [1, 2]
5. Instruction and Augmented Feedback
- Demonstration and Observational Learning: The impact of visual modeling on skill acquisition.
- Verbal Instructions: Using cues, explicit rules, and attentional focus to guide learners.
- Augmented Feedback: Structuring knowledge of results (KR) and knowledge of performance (KP) to optimize improvement. [1]
6. Practice Conditions
- Practice Variability and Specificity: Balancing diverse practice environments against exact context replication.
- Amount and Distribution of Practice: Managing overall practice volume and navigating massed vs. distributed schedules.
- Whole vs. Part Practice: Determining when to break down a skill into smaller components vs. practicing it in its entirety.
- Mental Practice: Utilizing imagery and cognitive rehearsal to enhance physical performance outcomes. [1]
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