Cited by 270Artificial Intelligence in EducationIntelligent Tutoring Systems and Adaptive LearningAutism Spectrum Disorder Research

Artificial Intelligence Enabled Personalised Assistive Tools to Enhance Education of Children with Neurodevelopmental Disorders—A Review

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Barua, Prabal Datta, Vicnesh, Jahmunah, Gururajan, Raj, Oh, Shu Lih, Palmer, Elizabeth, Azizan, Muhammad Mokhzaini, Kadri, Nahrizul Adib, Acharya, U. Rajendra·2022·International Journal of Environmental Research and Public Health

Abstract

Mental disorders (MDs) with onset in childhood or adolescence include neurodevelopmental disorders (NDDs) (intellectual disability and specific learning disabilities, such as dyslexia, attention deficit disorder (ADHD), and autism spectrum disorders (ASD)), as well as a broad range of mental health disorders (MHDs), including anxiety, depressive, stress-related and psychotic disorders. There is a high co-morbidity of NDDs and MHDs. Globally, there have been dramatic increases in the diagnosis of childhood-onset mental disorders, with a 2- to 3-fold rise in prevalence for several MHDs in the US over the past 20 years. Depending on the type of MD, children often grapple with social and communication deficits and difficulties adapting to changes in their environment, which can impact their ability to learn effectively. To improve outcomes for children, it is important to provide timely and effective interventions. This review summarises the range and effectiveness of AI-assisted tools, developed using machine learning models, which have been applied to address learning challenges in students with a range of NDDs. Our review summarises the evidence that AI tools can be successfully used to improve social interaction and supportive education. Based on the limitations of existing AI tools, we provide recommendations for the development of future AI tools with a focus on providing personalised learning for individuals with NDDs.

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Authors
Barua, P. D., Vicnesh, J., Gururajan, R., Oh, S. L., Palmer, E., Azizan, M. M., Kadri, N. A., & Acharya, U. R.
Affiliations
  • University of Technology Sydney (AU)
  • Ngee Ann Polytechnic (SG)
  • University of Southern Queensland (AU)
  • UNSW Sydney (AU)
  • Universiti Sains Islam Malaysia (MY)
  • University of Malaya (MY)
  • Asia University (TW)
Corresponding author
Azizan, Muhammad Mokhzaini
Venue
International Journal of Environmental Research and Public Health
Publisher
MDPI AG
Published
2022-01-21
Volume
19
Issue
3
Pages
1192
ISSN
1660-4601 (ISSN-L)
OpenAlex
W4205370021
Cited by
270
References
97
Citations by year
2026: 70 · 2025: 106 · 2024: 63 · 2023: 23 · 2022: 8
FWCI
6.31
Type
journal article
Language
en
Open access
Locations
  • International Journal of Environmental Research and Public Health (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
  • Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
Keywords
artificial intelligence, assistive technology, neurodevelopmental disorders, children with disabilities, personalized learning, autism spectrum disorder, dyslexia, attention deficit hyperactivity disorder, intellectual disability, mental illness, learning difficulties, social interaction, machine learning, educational intervention
MeSH terms
Autism Spectrum Disorder, Adolescent, Anxiety Disorders, Artificial Intelligence, Attention Deficit Disorder with Hyperactivity, Child, Humans, Neurodevelopmental Disorders

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