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🎙️ AI Support for Neurodivergent Students From Teaching Machines to Adaptive Systems In this episode, we explore how artificial intelligence is reshaping education for neurodivergent students, and where its limits must be carefully understood. We trace the journey from early mechanical teaching machines of the 20th century to modern AI-enabled systems designed to adapt to engagement, frustration, and learning differences in real time. Drawing on interdisciplinary research, this discussion looks at how AI may support learners with ADHD, dyslexia, autism spectrum conditions, and non-verbal communication needs, while keeping teachers and human relationships at the centre of education. Beyond the technology itself, the conversation examines the biological foundations of learning differences, the pressures faced by classrooms and educators, and the ethical, legal, and resilience risks associated with large-scale AI use. Topics such as data privacy, informed consent, over-reliance on automation, and system failure are explored to ensure a balanced and responsible perspective. This episode is intended for parents, educators, researchers, and professionals interested in inclusive education, assistive technology, and the ethical use of AI in learning environments. ________________________________________ ⏱️ Chapters 00:00 — From early teaching machines to adaptive AI 02:00 — Why traditional classrooms fail many neurodivergent learners 03:15 — Biological perspectives on ADHD, dyslexia, and autism 07:05 — AI tools for focus, reading fluency, and communication 10:05 — Social robots, wearables, and emotion-support technologies 13:05 — Cloud-based AI, privacy risks, and ethics 15:15 — AI as support, not replacement 15:40 — Final reflections (Duration: 16:06) ________________________________________ 📚 Research References This episode draws on summaries and interpretations of publicly available research, including: 1. Research in Social & Administrative Pharmacy (2023) 2. Kooli & Chakraoui — AI Assistive Technologies in Inclusive Education 3. Computers & Education: Artificial Intelligence (2022); Geopolitical, Social Security & Freedom Journal (2024) 4. Panjwani-Charania & Zhai — AI for Learning Disabilities (Systematic Review) 5. Dziatkovskii — AI, Blockchain & Inclusive Education (2023) 6. Huka et al. — AI-Based Assistive Technologies in Special Schools 7. Yusuf et al. — AI-Assisted Communication for Non-Verbal Students 8. Barua et al. — AI-Personalised Assistive Tools for Neurodevelopmental Disorders (2022) 9. Almufareh et al. — Conceptual Model for Inclusive AI Technologies ________________________________________ ⚠️ Disclaimer This episode is generated using AI-assisted tools and is based on summaries and interpretations of publicly available research. It is intended for educational and discussion purposes only and does not constitute medical, clinical, or educational advice. Research findings may vary across studies and contexts, and individual needs differ. Viewers are encouraged to seek professional guidance for personalised support. ________________________________________ 🧠 About This Channel This channel explores neurodivergence, inclusive education, early intervention, and assistive technologies through research-informed discussion and lived-experience-aware perspectives. The focus is on understanding, support, and ethical practice — not diagnosis or treatment. ________________________________________ 🔖 Hashtags #NeurodivergentEducation #InclusiveEducation #SpecialEducation #AIinEducation #AssistiveTechnology #Neurodiversity #ADHD #Dyslexia #Autism #EdTech #EducationalResearch #ParentEducation