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

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.