Using a reinforcement system as an intervention plan to reduce unwanted behavior of student with ADHD: deep learning study in a single subject research design
The purpose of this deep learning study is to use the reinforcement system, which gives an economy token as a behavior intervention to reduce moving without permission behavior of a student with ADHD during the reading class. A reversal A-B-A single subject research design was used in this study. The data collected through observation. The intervention that was used to the student is a token giving to him such as a sticker or candy every 10 minutes if he did not move without permission during the reading class. As a result, the average of the frequency of moving without permission during the reading class was reduced from 7.25 to 0.7 over the course of the intervention.
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