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Motor Learning and Control: Concepts and Applications, 2024 Release

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Motor Learning and Concepts and Applications , 12e, is an introduction to the study of motor learning and control for students who aspire to become practitioners in exercise science, physical education, and other movement-oriented professions. Each chapter presents motor learning and control as a set of principles and guidelines based on research evidence. The authors’ clear writing style and practical applications will help students build a solid foundation and prepare them for further exploration on their own.Instructors and students can now access their course content through the Connect digital learning platform by purchasing either standalone Connect access or a bundle of print and Connect access. McGraw-Hill Connect® is a subscription-based learning service accessible online through your personal computer or tablet. Choose this option if your instructor will require Connect to be used in the course. Your subscription to Connect includes the ® - an adaptive digital version of the course textbook that personalizes your reading experience based on how well you are learning the content. Access to your instructors homework assignments, quizzes, syllabus, notes, reminders, and other important files for the course. Progress dashboards that quickly show how you are performing on your assignments and tips for improvement. The option to purchase (for a small fee) a print version of the book. This binder-ready, loose-leaf version includes free shipping.

560 pages, Kindle Edition

First published July 31, 2003

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Richard A. Magill

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Profile Image for Jaime T.
169 reviews12 followers
November 25, 2021
KPE261: Theory of Motor Skill Acquisition - Motor Learning

A great textbook that teaches a lot of important concepts on Motor Learning.

Learned about the classification of motor skills, measurement of motor performance, neuromotor basis of motor control, motor control theories, sensor components of motor control, motor learning, transfer and specificity of learning, augmented feedback, practice variability and specificity, practice amount and distribution, whole and part practice, and mental practice.
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