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Broda, Michael D.; Bogenschutz, Matthew; Dinora, Parthenia; Prohn, Seb M.; Lineberry, Sarah; Ross, Erica – American Journal on Intellectual and Developmental Disabilities, 2021
In this article, we demonstrate the potential of machine learning approaches as inductive analytic tools for expanding our current evidence base for policy making and practice that affects people with intellectual and developmental disabilities (IDD). Using data from the National Core Indicators In-Person Survey (NCI-IPS), a nationally validated…
Descriptors: Artificial Intelligence, Prediction, Employment Patterns, Day Programs
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Lin, Jiayong; Manokara, Vimallan; Ng, Jesselyn S.; Penchaliah, Sivananda – Journal of Applied Research in Intellectual Disabilities, 2020
Background: Adults with intellectual disability are often disengaged in disability services. While Active Support has found efficacy in residential settings, less is known in day services. This study examines the impact of Active Support in day services for adults with intellectual disability in Singapore, particularly on engagement and behaviours…
Descriptors: Adults, Intellectual Disability, Participation, Day Programs