Education, Skills
How AI can personalize education, change instruction, and impact inequality.
Education researchers have evaluated the ability of large language models (LLMs) to help middle school math teachers structure tiered lessons to reach diverse skill levels — a strategy called scaffolding.
Education researchers have evaluated the ability of large language models (LLMs) to help middle school math teachers structure tiered lessons to reach diverse skill levels — a strategy called scaffolding.
The development of digital learning infrastructure and platforms was driven by innovative AI technologies and accelerated by pandemic-imposed needs. This industry brief provides a cross-section of key AI research – at HAI and across Stanford – that are reshaping how we learn. Discover how researchers are facilitating high-quality personalized learning at scale, creating novel systems augmenting teaching and assessments, designing intentional and inclusive learning environments, and more.
The development of digital learning infrastructure and platforms was driven by innovative AI technologies and accelerated by pandemic-imposed needs. This industry brief provides a cross-section of key AI research – at HAI and across Stanford – that are reshaping how we learn. Discover how researchers are facilitating high-quality personalized learning at scale, creating novel systems augmenting teaching and assessments, designing intentional and inclusive learning environments, and more.
Inspiring Action: Identifying the Social Sector AI Opportunity Gap
This working paper reveals the untapped potential for leveraging AI for mission-related impact.
This working paper reveals the untapped potential for leveraging AI for mission-related impact.
The third Stanford AI+Education Summit brought together researchers, K-12 leaders, educators, and technologists to explore how AI is shaping teaching and learning.
The third Stanford AI+Education Summit brought together researchers, K-12 leaders, educators, and technologists to explore how AI is shaping teaching and learning.
Thirty-two interdisciplinary teams will receive $2.37 million in Seed Research Grants to work toward initial results on ambitious proposals.
Thirty-two interdisciplinary teams will receive $2.37 million in Seed Research Grants to work toward initial results on ambitious proposals.
Stanford HAI co-director Fei-Fei Li says the next frontier in AI lies in advancing spatial intelligence. In this op-ed, she explains how enabling machines to perceive and interact with the world in 3D can unlock human-centered AI applications for robotics, healthcare, education, and beyond.
Stanford HAI co-director Fei-Fei Li says the next frontier in AI lies in advancing spatial intelligence. In this op-ed, she explains how enabling machines to perceive and interact with the world in 3D can unlock human-centered AI applications for robotics, healthcare, education, and beyond.
All Work Published on Education, Skills
Newly appointed graduate fellows and postdoctoral fellows will help to shape the future of human-centered AI.
Newly appointed graduate fellows and postdoctoral fellows will help to shape the future of human-centered AI.
AI+Education: How Large Language Models Could Speed Promising New Classroom Curricula
Stanford computer science scholars propose using language models to create new learning materials for K-12 students.
Stanford computer science scholars propose using language models to create new learning materials for K-12 students.
Large language models exhibit alarming magnitudes of bias when generating stories about learners, often reinforcing harmful stereotypes
Large language models exhibit alarming magnitudes of bias when generating stories about learners, often reinforcing harmful stereotypes
New studies show a marked spike in LLM usage in academia, especially in computer science. What does this mean for researchers and reviewers?
New studies show a marked spike in LLM usage in academia, especially in computer science. What does this mean for researchers and reviewers?
Useful models need better data. Stanford scholars explore a path to ensure domain experts have more fruitful conversation.
Useful models need better data. Stanford scholars explore a path to ensure domain experts have more fruitful conversation.
A year after generative AI shocked the education world, the second annual AI+Education Summit reflected on new tools and research for classrooms.
A year after generative AI shocked the education world, the second annual AI+Education Summit reflected on new tools and research for classrooms.