In this episode of School’s In, SCALE Faculty Director Susanna Loeb discusses how to scale education research for the greatest impact on student learning.

Faculty Affiliate Emma Brunskill and co-authors find that short-horizon data from edtech platforms can help predict student performance in the long term.

Stanford's RAPID Survey Project provides essential insights that turn lived experiences into actionable data.

In this episode of School’s In, Candace Thille, faculty director for the Stanford Accelerator for Learning's Adult and Workforce Learning initiative, discusses how to build on prior knowledge and target skills for adult learners, and the intersection of machine learning and human agency.

Taught by Accelerator Faculty Affiliate Dora Demszky, Empowering Educators via Language Technology aims to connect edtech creators and teachers to create better learning tools.

In this episode of School’s In, Accelerator Faculty Director Philip Fisher discusses how early childhood research is influencing policy, and parental practices that nurture development in young children.

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.

In her inaugural book, Stanford Accelerator for Learning Executive Director Isabelle Hau explores the power of care and connection in 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.