{"id":20079,"date":"2025-07-27T10:34:45","date_gmt":"2025-07-27T08:34:45","guid":{"rendered":"https:\/\/thesmartcityjournal.cibeles.net\/sin-categoria\/report-highlights-ais-potential-to-support-learners-with-disabilities\/"},"modified":"2025-07-27T20:57:48","modified_gmt":"2025-07-27T18:57:48","slug":"report-highlights-ais-potential-to-support-learners-with-disabilities","status":"publish","type":"post","link":"https:\/\/www.thesmartcityjournal.com\/en\/technology\/report-highlights-ais-potential-to-support-learners-with-disabilities","title":{"rendered":"Report highlights AI\u2019s potential to support learners with disabilities"},"content":{"rendered":"

Drawing on a collaborative event including students, educators, and policymakers, Stanford\u2019s Accelerator for Learning has released a white paper calling for AI systems designed around the needs of individuals with learning differences<\/span><\/i><\/p>\n

A new white paper from the Stanford Accelerator for Learning highlights how artificial intelligence (AI) can be a powerful tool to support students with learning differences \u2013 but only if it is developed with their needs and voices at the center.<\/span><\/p>\n

The report, AI + Learning Differences: Designing a Future with No Boundaries, is the result of a two-day Working Symposium and Hackathon hosted by the Accelerator that brought together more than 100 students, educators, researchers, entrepreneurs, policymakers, education industry leaders, and philanthropists. Participants, including many individuals with learning differences, spent the first day of the event engaging in collaborative dialogue on AI and learning differences and the second day designing and testing innovative new tools.<\/span><\/p>\n

The conversations and hacking sessions at the symposium were grounded in the disability rights principle, \u201cnothing about us without us,\u201d emphasizing the importance of including people with lived experience in the design of emerging technologies. As artificial intelligence becomes increasingly integrated into education and everyday life, participants reflected on the assumptions being built into AI systems and who is being prioritized \u2013 or overlooked \u2013 in their development.<\/span><\/p>\n

Discussions explored how AI could better support learners with differences, including helping identify where students may need additional support, enhancing assistive technologies, and improving the development and implementation of Individualized Education Plans (IEPs). Participants also explored how AI might impact students\u2019 social and emotional well-being, and whether it can be designed to recognize and value the full spectrum of human intelligence, even when it doesn\u2019t conform to traditional academic norms.<\/span><\/p>\n

The paper, released on July 21, synthesizes the outcomes of the symposium and hackathon, presenting a vision of inclusion in an AI-infused world. It lays out 12 recommendations for developers, educators, researchers, and policymakers to ensure that AI systems equitably serve learners of all abilities.<\/span><\/p>\n

\u201cEmpathy and access must not be afterthoughts,\u201d said Elizabeth Kozleski, co-author and faculty co-director of the Accelerator\u2019s Learning Differences Initiative. \u201cThis paper outlines how AI can be developed and deployed in ways that recognize the needs of all learners.\u201d<\/span><\/p>\n

Inclusive design benefits everyone<\/h2>\n

Designing AI with the needs of people with disabilities in mind doesn\u2019t only support a specific population \u2013 it improves the experience for all learners. For example, real-time captioning supports both hard of hearing students, English language learners, and learners with auditory processing challenges. AI-driven tools that help with executive functioning can also assist office personnel managing logistics. Starting with accessibility leads to smarter, more adaptable systems that serve a wide range of users.<\/span><\/p>\n

\u201cWhen we design for the full range of human experience, we build better systems for everyone,\u201d said Chris Lemons, co-author and incoming faculty director of the Learning Differences Initiative. \u201cTools created with learners with disabilities in mind often reveal gaps in the system that affect many others \u2013 like students who are multilingual, under-resourced, or just learn differently. Inclusive design is not a constraint \u2013 it\u2019s a catalyst for better technology and stronger educational equity.\u201d<\/span><\/p>\n

Key recommendations include:<\/span><\/h3>\n
    \n
  • Co-design with individuals who have learning differences<\/span><\/li>\n
  • Professional development for educators on integrating AI equitably<\/span><\/li>\n
  • Cross-sector collaboration to ensure inclusive policy and funding models<\/span><\/li>\n
  • Prioritization of privacy, transparency, and student agency<\/span><\/li>\n
  • The white paper is accompanied by a Hackathon Toolkit to support schools, companies, and community organizations in creating inclusive AI tools with students, families, and educators.<\/span><\/li>\n<\/ul>\n

    \u201cIn many schools, disability is thought of as a problem and teaching solutions are based on \u2018fixing kids,\u2019\u201d reflected 7th-grade student Mae T., who served as a hackathon judge.<\/span><\/p>\n

    \u201cI have seen that happen at my school. \u2026 At the meeting, I began to really understand that instead, the problem is our ideas about disability and teaching solutions should be based on fixing our ideas about learning differences \u2026 because everyone is different.\u201d<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

    Drawing on a collaborative event including students, educators, and policymakers, Stanford\u2019s Accelerator for Learning has released a white paper calling for AI systems designed around the needs of individuals with learning differences A new white paper from the Stanford Accelerator for Learning highlights how artificial intelligence (AI) can be a powerful tool to support students\u2026<\/p>\n","protected":false},"author":2,"featured_media":20078,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_scj_primary_category_id":51,"_scj_featured":false,"_scj_featured_from":"","_scj_featured_until":"","_scj_featured_order":0,"_scj_visibility_class":"current","_scj_layout_family":"standard","_scj_article_style":"","_scj_display_overrides":[],"_scj_intro_image_id":20078,"_scj_intro_alt":"Report highlights AI\u2019s potential to support learners with 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