Topics 10-12 Flashcards

Shaping, Chaining, Token Economy

1
Q

Define shaping

A

reinforcement of successive approximations of a target behaviour

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2
Q

What 2 principles are involved in shaping?

A

reinforcement
extinction

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3
Q

What are the steps of shaping? (6)

A
  1. Define target behaviour
  2. Identify the starting behaviour (must be an already existing behaviour)
  3. Choose the shaping steps
  4. Choose the reinforcer
  5. Reinforce each successive approximation
  6. Continue reinforcing until the target behaviour occurs
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4
Q

What are some limitations of shaping? (3)

A
  • progress isn’t always linear
  • harmful behaviour can be shaped
  • requires consistent monitoring
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5
Q

When is chaining used?

A

when a situation calls for complex behaviour that have multiple responses

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6
Q

Explain backward and forward chaining (2)

A

Backward - teach the last SR component in the chain first

Forward - teach the first SR component first

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7
Q

What are the steps used in chaining? (5)

A
  1. Present the S^D
  2. Verbal and physical prompt
  3. Praise / reinforcers
  4. Fade prompts
  5. Move on to the next SR component
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8
Q

What does a token economy involve?

A

the systematic use of conditioned reinforcers called tokens to increase desirable behaviours

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9
Q

How does a token economy work? (4 steps)

A
  1. Individual has 0 tokens and no access to desired items/activities
  2. Individual exhibits the desired behaviours
  3. Individual is provided tokens for the behaviour
  4. Individual exchanges tokens for access to desirable items/activities
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10
Q

What are the 7 elements of a token economy?

A
  • target behaviours
  • type of tokens
  • backup reinforcers
  • reinforcement schedule
  • exchange criterion
  • time/place for exchange
  • response cost (optional)
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11
Q

What is a response cost in a token economy?

A

a penalty or fine where tokens are taken away for inappropriate behaviours

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12
Q

What are some advantages of token economies? (3)

A
  • reinforcement can occur immediately
  • highly structured
  • tokens are generalized and conditioned reinforcers
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