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

Assistive Technologies and Interventions for Dyslexia: The role of AI, Robotics and Adaptive Systems | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Systematic Review Assistive Technologies and Interventions for Dyslexia: The role of AI, Robotics and Adaptive Systems Saniya Sehar, Dr Ambili P S, Vishwanath Hulipalled This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9143929/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract 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. Computational Neuroscience Artificial Intelligence and Machine Learning Dyslexia Assistive technology Personalized Learning Adaptive tools Robotics Machine Learning Full Text Additional Declarations The authors declare potential competing interests as follows: The authors hereby declare that there are no competing interests, either financial or nonfinancial, directly or indirectly related to the work submitted for publication. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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