Case Study: Extension of a Systematic Data-Based Reinforcement System to Increase Independence in Public-School Inclusion Settings to a Student with Down Syndrome and Intellectual Disability.

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Title: Case Study: Extension of a Systematic Data-Based Reinforcement System to Increase Independence in Public-School Inclusion Settings to a Student with Down Syndrome and Intellectual Disability.
Authors: Gifford, Audrey, Redpath, Caroline C., Lionello-DeNolf, Karen M.
Source: Education & Treatment of Children (West Virginia University Press). Aug2018, Vol. 41 Issue 3, p345-355. 11p.
Subjects: Inclusive education, Students with disabilities, Education of people with down syndrome, Intellectual disabilities, Public schools, Learning problems, Pathological psychology
Geographic Terms: United States
Abstract: Prompt dependency in inclusion-setting students with intellectual disabilities is a challenge. Using a scientist-practitioner model, an intervention to shape independent responding was implemented by paraprofessionals for a student with Down syndrome. It included systematic reinforcement-schedule thinning, reduced paraprofessional proximity, and incorporation of peer models into prompting strategies. Independence on nine pre-academic skills improved by 25-100% (mean = 68.1%) as reinforcement criteria increased and paraprofessional proximity decreased. Although the intervention significantly departed from treatment as usual, social validity among stakeholders was high. [ABSTRACT FROM AUTHOR]
Copyright of Education & Treatment of Children (West Virginia University Press) is the property of West Virginia University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Case Study: Extension of a Systematic Data-Based Reinforcement System to Increase Independence in Public-School Inclusion Settings to a Student with Down Syndrome and Intellectual Disability.
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  Data: <searchLink fieldCode="DE" term="%22Inclusive+education%22">Inclusive education</searchLink><br /><searchLink fieldCode="DE" term="%22Students+with+disabilities%22">Students with disabilities</searchLink><br /><searchLink fieldCode="DE" term="%22Education+of+people+with+down+syndrome%22">Education of people with down syndrome</searchLink><br /><searchLink fieldCode="DE" term="%22Intellectual+disabilities%22">Intellectual disabilities</searchLink><br /><searchLink fieldCode="DE" term="%22Public+schools%22">Public schools</searchLink><br /><searchLink fieldCode="DE" term="%22Learning+problems%22">Learning problems</searchLink><br /><searchLink fieldCode="DE" term="%22Pathological+psychology%22">Pathological psychology</searchLink>
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  Data: Prompt dependency in inclusion-setting students with intellectual disabilities is a challenge. Using a scientist-practitioner model, an intervention to shape independent responding was implemented by paraprofessionals for a student with Down syndrome. It included systematic reinforcement-schedule thinning, reduced paraprofessional proximity, and incorporation of peer models into prompting strategies. Independence on nine pre-academic skills improved by 25-100% (mean = 68.1%) as reinforcement criteria increased and paraprofessional proximity decreased. Although the intervention significantly departed from treatment as usual, social validity among stakeholders was high. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Education & Treatment of Children (West Virginia University Press) is the property of West Virginia University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Text: English
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      – SubjectFull: Intellectual disabilities
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              Text: Aug2018
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