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Learn about findings from a randomized controlled trial evaluating the impact of an AI-based tool on reading comprehension among middle and high school students with intellectual and developmental disabilities.
Clinical Mind AI is a Stanford-developed, international collaborative platform designed to strengthen clinical reasoning education through AI-simulated patient encounters across health professions.
Clinical Mind AI is a Stanford-developed, international collaborative platform designed to strengthen clinical reasoning education through AI-simulated patient encounters across health professions.
This talk will cover key insights from the third report, AI Goes Mainstream: The Scaling Era and the Rise of Generative AI, set for release in October 2026.
This talk will cover key insights from the third report, AI Goes Mainstream: The Scaling Era and the Rise of Generative AI, set for release in October 2026.
This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.
This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.
Students engaged with science and social studies texts to extract main ideas and answer comprehension questions using AI assistance. The study compared four conditions: baseline, no support, adult support, and AI support, with outcomes measured via rubric-based scoring. Key findings include improved response quality in AI-supported conditions and insights into the design and implementation of effective AI tools in education.
In addition, the session explores the current and future landscape of AI in education, emphasizing the convergence of language intelligence (e.g., large language models like GPT4-series, o3-series, Claude-series, etc..) and multi-modality. It highlights how emerging technologies—combined with audio and visual interfaces —are transforming assistive tools and enabling adaptive, personalized learning with universal design. The discussion will focus on the collaborative potential between educators, engineers, and AI systems to enhance student experiences and improve learning outcomes.
