Our work: Digital Learning

AI + Education

How can artificial intelligence enhance learning and support those in teaching roles? The Stanford Accelerator for Learning explores the possibilities and pitfalls through this interdisciplinary project on AI in education.


An illustration depicting a robot in a computer teaching.
Photo: iStock/Alyona Jitnaya

Overview

From generative AI platforms to adaptive learning programs and more precise feedback, AI is rapidly changing opportunities in teaching and learning. The use of AI in learning is also sparking challenging questions about what is taught and how and what kind of data needs to be collected.

The Stanford Accelerator for Learning is leaning into this space by providing new research, learning, and convening opportunities that bring together talent from across education, science, and technology to chart an ethical, informed, and exciting path for the future.

Faculty Lead

Headshot of Victor Lee

Victor Lee

Associate Professor

Research team

Catherine Chase

Research Director

Latest updates

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September 30th, 2024 Digital Learning, Students

Stanford education scholar uses AI to help medical students hone diagnostic skills

Doctoral student Marcos Rojas bridges education, medicine, and computer science with a platform that simulates patient-physician interactions.
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Funding opportunities

Generative AI is artificial intelligence that can generate novel content by using existing text, audio files, or images. Generative AI has now reached a tipping point where it can produce high quality output that can support many different kinds of tasks. For example, ChatGPT can write essays and code, DALL-E can create images and art, while other forms of generative AI can produce recipes, music, and videos. These new forms of generative AI have the capacity to change how we think, create, teach, and also learn.

The AI+Education program has collaborated with the Stanford Institute for Human-Centered Artificial Intelligence (HAI), to fund two rounds of early and exploratory stages of research on AI and education, including designs, prototypes, and pilot studies that may have the potential to scale or have broad impact in the future.

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Deadline: October 23, 2024

Learning through Creation with Generative AI

The Stanford Accelerator for Learning and the Stanford Institute for Human-Centered Artificial Intelligence (HAI) invite research proposals advancing learning through creation with generative AI.
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Deadline: March 01, 2023

Generative AI for the Future of Learning

In collaboration with the Stanford Institute for Human-Centered Artificial Intelligence, grants up to $100,000 for innovative designs and/or research on critical issues and applications of generative AI in learning contexts.
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Resources for Educators

The Stanford Accelerator for Learning works with educators to facilitate the exchange of information and bridge the gap between research and practice. Educators help inform AI researchers and developers about PK-12’s challenges. They also suggest new areas of research and development to help address critical needs within the education system.

 

Curricular Resources

The Curricular Resources about AI for Teaching (CRAFT) project brings together researchers and educators to co-create resources to teach AI literacies in high school.

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AI Tinkery

Housed in the Center for Education Research at Stanford (CERAS), the AI Tinkery is a collaborative space for educators to play and tinker with the possibilities of generative AI in the classroom.

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Professional Learning Video Series

In this series, Stanford faculty share their experiences and perspectives on AI and learning as they respond to questions from educators. Each video comes with a set of discussion questions that teachers can use to self-reflect or engage in conversation with colleagues.

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