Barua, Prabal Datta and Vicnesh, Jahmunah and Gururajan, Raj and Oh, Shu Lih and Palmer, Elizabeth and Azizan, Muhammad Mokhzaini and Kadri, Nahrizul Adib and Acharya, U. Rajendra (2022) Artificial intelligence enabled personalised assistive tools to enhance education of children with neurodevelopmental disorders-a review. International Journal of Environmental Research and Public Health, 19 (3). ISSN 1660-4601, DOI https://doi.org/10.3390/ijerph19031192.
Full text not available from this repository.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.
| Item Type: | Article |
|---|---|
| Funders: | None |
| Uncontrolled Keywords: | Neurodevelopmental disorders; Mental disorders; Personalisation; Artificial intelligence; Machine learning |
| Subjects: | G Geography. Anthropology. Recreation > GE Environmental Sciences |
| Divisions: | Faculty of Engineering |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 21 Aug 2022 03:12 |
| Last Modified: | 21 Aug 2022 03:12 |
| URI: | http://eprints.um.edu.my/id/eprint/33389 |
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