Listen to the audio lecture while viewing these slides Psychology 390 Psychology of Learning Steven E. Meier, Ph.D. 1 Applications of Reinforcement.

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Presentation transcript:

Listen to the audio lecture while viewing these slides Psychology 390 Psychology of Learning Steven E. Meier, Ph.D. 1 Applications of Reinforcement

Psyc 390 – Psychology of Learning 2 Token Economies Is designed to provide secondary reinforcers (tokens) for appropriate behavior. Can also be removed for inappropriate behavior. Is often used in group homes, educational settings, and institutional settings.

Psyc 390 – Psychology of Learning 3 Usually Give tokens for appropriate behavior. Remove tokens for inappropriate behavior.

Psyc 390 – Psychology of Learning 4 Tokens Tokens can be anything Stars Coins Cigarettes

Psyc 390 – Psychology of Learning 5 Educational Settings Can use token economies for early grades to increase student performance Stars Can use VI pop quizzes to increase studying behavior for college students. Especially, if the quizzes are worth a lot of points.

Psyc 390 – Psychology of Learning 6 Work Settings Applications of reinforcement applications can increase work performance. Bonuses for work completion. Use of FR schedules. Use of FI schedules can be ineffective in increasing behavior. Delay is long between reinforcers (every two weeks) Get post reinforcement pauses. Poor work performance on Mondays after Friday paydays.

Psyc 390 – Psychology of Learning 7 Medical Settings Use reinforcers to for weight reduction, food control for diabetes, etc. Good job for flossing, Insurance reductions for not smoking, weight control, etc can increase “healthy” behaviors.

Psyc 390 – Psychology of Learning 8 Counseling Settings Use of reinforcement is mandatory in making behavioral changes. Can be used in family counseling, child counseling, or individual counseling, etc.

Psyc 390 – Psychology of Learning 9 Domestic Companions (Pets) Use shaping with reinforcement. Can modify many types of behavior.

Psyc 390 – Psychology of Learning 10 Conclusion Reinforcement applications can be used everywhere and generally with everything.