Document Type : Original Article
Researchers
1 Department of Educational Psychology, Faculty of Psychology and Educational Sciences, Allameh Tabatabai University, Tehran, Iran
2 Professor, Department of Educational Psychology, Faculty of Psychology and Educational Sciences, Allameh Tabatabai University, Tehran, Iran
3 Department of Educational Psychology, Allameh University
4 Department of Educational Psychology, faculty of psychology and education. Allameh Tabataba'i University, Tehran, Iran
Ministerial Ethics Committee
The current research aims to design and validate a cognitive rehabilitation package based on Duncan's goal neglect theory and evaluate its effectiveness on sustained attention, problem solving and emotional self-regulation of adolescent students with attention deficit hyperactivity disorder. In terms of the method, it will be of mixed type, and in terms of data collection, it will be a synthesis research method in the qualitative part and a pre-test, post-test follow-up with the control group in the quantitative part. The statistical population of the study will be adolescent students with attention deficit and hyperactivity referring to the counseling center of Khorramdare city education department, 40 of them will be randomly selected in two control and experimental groups. Before starting the interventions, all the groups will be taken as a pre-test, the Tower of London and continuous performance tests and the emotional self-regulation questionnaire of Hoffman and Kashdan (2010).Then, the experimental group will receive the interventions for 12 sessions (2 sessions of 45 minutes per week) in the environment of the rehabilitation and counseling center. While the control group did not receive any intervention and will be placed on the waiting list. After the completion of the training sessions, the tests of both groups will be repeated as a post-test, in the qualitative section, after the package is made, the content validity coefficient will be calculated. In the quantitative part, the obtained data will be analyzed using SPSS24 statistical software at two descriptive and inferential levels