AI advances in specific learning disorders education: The case of dyscalculia and dyslexia
Department of Pedagogy and Primary Education, School of Education, University of Athens, Greece.
Review
World Journal of Biology Pharmacy and Health Sciences, 2024, 19(02), 203–217.
Article DOI: 10.30574/wjbphs.2024.19.2.0520
Publication history:
Received on 01 July 2024; revised on 08 August 2024; accepted on 10 August 2024
Abstract:
This paper offers a comprehensive review of recent AI advancements in screening and intervention tools for dyslexic and dyscalculic children. Initially, we provide an overview of these conditions and the AI technologies employed, specifically focusing on various algorithms and techniques falling under the umbrella of AI. Notably, our research excludes tools that do not utilize adaptive algorithms or machine learning. We first delve into screening tools designed to detect dyslexia and dyscalculia. In the subsequent section, we explore a variety of AI-powered tools and models tailored for intervention, catering to students across different age groups, ranging from preschoolers to adults.
Keywords:
Dyslexia; Dyscalculia; Artificial intelligence; Specific learning disorders; Learning difficulties; Intervention; Diagnosis
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0