Author
Listed:
- Arneliza Anwar
(Psychology Graduate Student, Persada Indonesia Y.A.I University, Jakarta, Indonesia)
- Rudy Sutadi
(Psychology Postgraduate Student, Persada Indonesia Y.A.I University, Jakarta, Indonesia)
- Chairita Miranda
(Psychology Graduate Student, Persada Indonesia Y.A.I University, Jakarta, Indonesia)
Abstract
Lovaas was the first professional to use the principle of behavior modification for autism with a technique he called DTT (Discrete Trial Training), which later to be known as ABA (Applied Behavior Analysis). Through his study, Lovaas found that 47% of subjects had excellent results. While 42% with varying degrees, and the other 11% of subjects very little progress. In DTT, there are 2 possible responses, but the researchers' observations do not seem to be just 2 possibilities. This study's goal is to improve discrete trial training (DTT) procedures to increase the effectiveness of Smart Applied Behavior Analysis therapy for autism spectrum disorder. This study uses quantitative methods with a literature review research design. Research data is obtained through interviews, document studies, and literature reviews (journals and websites). The study focused on the researchers' findings that were adapted to earlier theories. The study was conducted at the researchers' autism clinic. During the implementation of therapy using DTT, the researchers observed that the child's response is not only 2, namely correct and incorrect. Based on the study conducted, it was obtained that there were 5 possible responses: Correct, incorrect, partial-correct, off-task, and no-response. Each of which required different feedback and its subsequent sequences, as well as the possibility of different causative factors which require different interventions. Further research with large and multi-center samples will further increase the effectiveness of DTT applications in Smart ABA for autism. This study was based on the researchers' findings while observing, mentoring, and supervising autism therapists.
Suggested Citation
Handle:
RePEc:alk:jpbs00:v:2:y:2022:i:1:id:3273
DOI: 10.32996/jpbs.2022.2.1.7
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:alk:jpbs00:v:2:y:2022:i:1:id:3273. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Al-Kindi Center for Research and Development (email available below). General contact details of provider: https://al-kindipublisher.com/index.php/jpbs .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.