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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.
What does digital inclusion look like in the age of AI? Over 6,000 of the world’s 7,000-plus living languages remain digitally disadvantaged.
What does digital inclusion look like in the age of AI? Over 6,000 of the world’s 7,000-plus living languages remain digitally disadvantaged.
AI+Science: Accelerating Discovery is an interdisciplinary conference bringing together researchers across physics, mathematics, chemistry, biology, neuroscience, and more to examine how AI is reshaping scientific discovery. Experts will separate hype from reality, spotlighting where AI is already enabling genuine breakthroughs and where its limits and risks remain.
AI+Science: Accelerating Discovery is an interdisciplinary conference bringing together researchers across physics, mathematics, chemistry, biology, neuroscience, and more to examine how AI is reshaping scientific discovery. Experts will separate hype from reality, spotlighting where AI is already enabling genuine breakthroughs and where its limits and risks remain.
While Large Language Models (LLMs) show promise in many domains, relying on them for direct policy generation in games often results in illegal moves and poor strategic play.
While Large Language Models (LLMs) show promise in many domains, relying on them for direct policy generation in games often results in illegal moves and poor strategic play.
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.
