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AI advances in specific learning disorders education: The case of dyscalculia and dyslexia

Year: 2024

Type: article

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.

Source: World Journal of Biology Pharmacy and Health Sciences

DOI: 10.5281/zenodo.15145758

Authors: Delagrammatika Garyfallia, Papachristofilou Georgia, Ferentinou Konstantinia

Institution: National and Kapodistrian University of Athens

Language: English

Topic: Artificial Intelligence in Education

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDGs: Quality education, Good health and well-being

Open Access status: hybrid

OpenAlex ID: W6930619416

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