A review of experimental research by Jeremy Bailenson, faculty affiliate of the Stanford Accelerator for Learning, reveals how VR is best used and why it’s struggled to become a megahit with consumers.

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.

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.

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.

A new course for teacher candidates, led by Stanford Accelerator for Learning faculty affiliate Michael Hines, takes a journey through the state's legacy of learning.