Assistive Technologies and Interventions for Dyslexia: The role of AI, Robotics and Adaptive Systems

Dyslexia is a hereditary, neurodevelopmental learning disorder found to appear in around 10% of the population, characterized by difficulty in reading. Cutting-edge advancements in technology, particularly breakthroughs in artificial intelligence and robotics, have paved the way for innovative approaches to support individuals with learning disabilities such as Dyslexia. This study critically reviews the role of assistive technologies specifically Artificial Intelligence (AI), Machine Learning (ML), and Robotics in addressing the educational challenges faced by children with dyslexia. This paper explores the use of AI, Machine Learning, and Robotics as assistive technologies for children with dyslexia. A systematic PRISMA-based review of 30 selected studies highlights how early detection, multimodal feedback, and personalized interventions improve learning outcomes. Robotics offers multisensory, emotionally engaging support, AI enables real-time, adaptive feedback and ML aids in early diagnosis. Despite clear benefits, challenges remain in real-world classroom integration, personalization, and connecting detection to intervention. The study concludes that AI-powered robotics provides the most effective and child-centered solution, calling for ethical, inclusive, and scalable implementation across educational systems.