Classroom applications of self-determined reinforcement.

Area of Science:

• Educational Psychology
• Behavioral Science

Background:

• Token reinforcement is a common classroom management strategy.
• Understanding the impact of different reinforcement determination methods is crucial for effective learning.

Purpose of the Study:

• To compare the effectiveness of self-determined, experimenter-determined, and chance-determined token reinforcement on academic learning.
• To assess the influence of token reinforcement experience on subsequent self-determined reinforcement.

Main Methods:

• Four heterogeneous Grade 9 classes were assigned to different token reinforcement conditions: self-determined, experimenter-determined, chance-determined, and no-token.
• The study included baseline, differential reinforcement, token withdrawal, and final baseline periods.
• Learning of history and geography material was assessed.

Main Results:

• All classes showed similar initial baseline performance.
• Self-determined and experimenter-determined token reinforcement were superior to chance-determined and no-token treatments.
• Significant learning improvements were observed with self-determined and experimenter-determined treatments from initial to final baseline.
• Previous token reinforcement experience positively influenced the rate of self-determined token reinforcement.

Conclusions:

• Self-determined and experimenter-determined token reinforcement strategies are more effective for academic learning than chance-determined or no-token approaches.
• Learner engagement with token reinforcement systems can enhance future self-regulated reinforcement behaviors.