All Work Published on Education, Skills
Language Models in the Classroom: Bridging the Gap Between Technology and Teaching
Instructors and students from Stanford class CS293/EDUC473 address the failures of current educational technologies and outline how to empower both teachers and learners through collaborative innovation.
Instructors and students from Stanford class CS293/EDUC473 address the failures of current educational technologies and outline how to empower both teachers and learners through collaborative innovation.
The new AI Index is out. See how well you know the state of the industry.
The new AI Index is out. See how well you know the state of the industry.
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 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.