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A Machine Learning Model to Predict the ASD Traits and Challenging Behaviors in Children
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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
Identifying Children with Clinical Language Disorder: An Application of Machine-Learning Classification
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Justice, Laura M.; Ahn, Woo-Young; Logan, Jessica A. R. – Journal of Learning Disabilities, 2019
In this study, we identified child- and family-level characteristics most strongly associated with clinical identification of language disorder for preschool-aged children. We used machine learning to identify variables that best classified children receiving therapy for language disorder among a sample of 483 3- to 5-year-old children (54%…
Descriptors: Language Impairments, Disability Identification, Clinical Diagnosis, Preschool Children
Handbook of Research on Critical Issues in Special Education for School Rehabilitation Practices. Advances in Early Childhood and K-12 Education (AECKE) Book Series
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Singh, Ajay, Ed.; Yeh, Chia Jung, Ed.; Blanchard, Sheresa, Ed.; Anunciação, Luis, Ed. – IGI Global, 2021
Rehabilitation professionals working with students with disabilities and the families of those students face unique challenges in providing inclusive services to special education student populations. There needs to be a focus on adaptive teaching methods that provide quality experience for students with varying disabilities to promote student…
Descriptors: Students with Disabilities, Inclusion, Special Education, Teaching Methods
Expert Systems in the Individual Education Program Process. Technical Paper.
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Lubke, Margaret; And Others – 1985
The paper describes the use of expert systems technology in translating test and observational data into objectives for Individualized Education Programs (IEPs) with handicapped students. The Math Test Interpreter (MTI) is designed to combine student information, results from the Key Math Diagnostic Arithmetic Test and additional program generated…
Descriptors: Artificial Intelligence, Behavior Problems, Decision Making, Disabilities
Artificial Intelligence Applications in Special Education: How Feasible? Final Report.
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Hofmeister, Alan M.; Ferrara, Joseph M. – 1986
The research project investigated whether expert system tools have become sophisticated enough to be applied efficiently to problems in special education. (Expert systems are a development of artificial intelligence that combines the computer's capacity for storing specialized knowledge with a general set of rules intended to replicate the…
Descriptors: Articulation Impairments, Artificial Intelligence, Behavior Disorders, Behavior Problems
Current Uses of Artificial Intelligence in Special Education. Abstract XI: Research & Resources on Special Education.
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ERIC Clearinghouse on Handicapped and Gifted Children, Reston, VA. – 1987
Summarized are two reports of a federally funded project on the use of artificial intelligence in special education. The first report, "Artificial Intelligence Applications in Special Education: How Feasible?," by Alan Hofmeister and Joseph Ferrara, provides information on the development and evaluation of a series of prototype systems…
Descriptors: Artificial Intelligence, Behavior Problems, Classification, Computer Assisted Instruction