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Bakker, Theo; Krabbendam, Lydia; Bhulai, Sandjai; Meeter, Martijn; Begeer, Sander – Autism: The International Journal of Research and Practice, 2023
Individuals with autism increasingly enroll in universities, but little is known about predictors for their success. This study developed predictive models for the academic success of autistic bachelor students (N = 101) in comparison to students with other health conditions (N = 2465) and students with no health conditions (N = 25,077). We…
Descriptors: Predictor Variables, Academic Achievement, Autism Spectrum Disorders, Models
Senapati, Biswaranjan – ProQuest LLC, 2023
A neurological disorder, along with several behavioral issues, may be to blame for a child's subpar performance in the academic journey (such as anxiety, depression, learning disorders, and irritability). These symptoms can be used to diagnose children with ASD, and supervised machine learning models can help differentiate between ASD traits and…
Descriptors: Artificial Intelligence, Educational Technology, Autism Spectrum Disorders, Models
Ashley Zitter – ProQuest LLC, 2024
Evidence-based early interventions for autism spectrum disorder (ASD) have been shown to improve child outcomes and quality of life (Lord et al., 2018; Reichow et al., 2018; Smith & Iadarola, 2015). However, response to intervention is variable across both children and implementation contexts. Understanding factors that influence this…
Descriptors: Autism Spectrum Disorders, Intervention, Early Intervention, Prediction