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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.
This workshop will cover how NVIDIA RAPIDS offers a seamless experience to enable GPU-acceleration for many existing data science tasks with zero code changes. You will learn how to use GPU-accelerated tools to conduct data science faster, leading to more scalable, reliable, and cost-effective results!
This workshop will cover how NVIDIA RAPIDS offers a seamless experience to enable GPU-acceleration for many existing data science tasks with zero code changes. You will learn how to use GPU-accelerated tools to conduct data science faster, leading to more scalable, reliable, and cost-effective results!
Save the Date. Artificial intelligence is transforming how researchers collect, analyze, and learn from data. As AI systems become increasingly integrated into scientific discovery, business decision-making, and policy analysis, they are reshaping both the questions researchers can ask and the methods they use to answer them.
Save the Date. Artificial intelligence is transforming how researchers collect, analyze, and learn from data. As AI systems become increasingly integrated into scientific discovery, business decision-making, and policy analysis, they are reshaping both the questions researchers can ask and the methods they use to answer them.
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.
