A Cloud-Supported App for Providing Self-Directed, Localized Job Interest Assessment and Analysis for People with Intellectual Disability
| Autor: | Michael L. Wehmeyer, Cameron D. Davies, Steven E. Stock, Daniel K. Davies |
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| Rok vydání: | 2018 |
| Předmět: |
030506 rehabilitation
medicine.medical_specialty Social work business.industry Public health 05 social sciences Applied psychology 050301 education Cloud computing medicine.disease 03 medical and health sciences Quality of life (healthcare) Work (electrical) Vocational education Intellectual disability medicine Psychology (miscellaneous) 0305 other medical science business Psychology 0503 education Social Sciences (miscellaneous) Employment outcomes |
| Zdroj: | Advances in Neurodevelopmental Disorders. 2:199-205 |
| ISSN: | 2366-7540 2366-7532 |
| DOI: | 10.1007/s41252-018-0062-8 |
| Popis: | Obtaining meaningful, fulfilling employment is important to the enhanced quality of life of all people. Unfortunately, data show that people with disabilities, in general, achieve much poorer employment outcomes than do people without disabilities, and that people with intellectual disability have even less positive employment outcomes. There are many reasons for this, but at least one factor may be limitations to the ways of determining the job and vocational interests and work preferences of people with intellectual disability. This study examined the use of a cognitively accessible, iPad-based app that provided multiple opportunities for people with intellectual disability to view videos about potential work contexts and job tasks and to identify preferred work options. Participants in this study were able to use the app with minimal prompting and were able to identify job and work interests and preferences that matched those identified for them by vocational counselors. |
| Databáze: | OpenAIRE |
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