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Learning Theories

Fitts and Posner's stages of learning

  • 3 things to know
  • Component 2

Overview

The cognitive, associative and autonomous stages, trial and error, dependence on the coach, kinaesthesis, coaching at each stage, feedback across the stages, novice and autonomous tennis servers, and the stages as a continuum.

What you need to know

Answer each one before you reveal it.

Your recallNot started
Process

How do the type and role of feedback change across Fitts and Posner's three stages?

Numbers

Name Fitts and Posner's three stages of learning.

Process

Describe a learner in the cognitive stage.

Questions from this subtopic

Each one with the model answer underneath.

  1. 1

    Name Fitts and Posner's three stages of learning.

    Model answer

    The three stages are the cognitive, associative and autonomous stages. Fitts and Posner proposed them in 1967.

  2. 2

    Describe a learner in the cognitive stage.

    Model answer

    The learner is trying to understand what the skill involves and to form a mental picture of it. Movements are jerky and uncoordinated, with many large errors.

  3. 3

    Why is trial and error common in the cognitive stage?

    Model answer

    The learner has no motor programme yet, so each attempt is a guess at the right movement. Successful attempts give clues about what to repeat.

  4. 4

    Why does a cognitive-stage learner depend so heavily on the coach?

    Model answer

    A beginner cannot yet recognise errors or feel the correct movement. The coach must supply the information needed to understand and correct the skill.

  5. 5

    How should a coach work with a learner in the cognitive stage?

    Model answer

    The coach gives accurate demonstrations and short, simple instructions focused on one or two key points. Manual guidance and simplified, closed practice help the learner succeed.

  6. 6

    Describe a learner in the associative stage.

    Model answer

    The learner practises and the motor programme begins to form. Movements become smoother, with fewer and smaller errors.

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