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June 2, 2021 Spring Summit

Agenda | Speakers | Recording

Transforming Learning Accelerator Spring Summit

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Breakthroughs in neuroscience, technology, and data are making it possible to create more equitable, just, and effective learning solutions. The Transforming Learning Accelerator inaugural Spring Summit brings together Stanford researchers who use these game-changers to improve learning and educational outcomes for all students. 

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Event Details

10:00 am - 10:10 am
Welcome and Introduction

  • Marc Tessier-Lavigne, President, Stanford University
  • Dan Schwartz, I.James Quillen Dean, Stanford Graduate School of Education

10:10 am - 11:00 am
Session I: Neuroscience

Jason Yeatman

Jason Yeatman
Assistant Professor of Pediatrics and Education, Stanford Medicine and Graduate School of Education

Yeatman’s research seeks to understand the mechanisms that underlie the process of learning to read, how these mechanisms differ in children with dyslexia, and to design literacy intervention programs.

Jo Boaler

Jo Boaler
Nomellini & Olivier Professor of Education, Stanford Graduate School of Education

Boaler is co-founder of Stanford’s Youcubed, which gives teachers, parents and students the resources they need to excite students about mathematics. She also co-leads a California K-12 Data Science Initiative.

11:00 am - 11:10 am
Break and Project Spotlight

11:10 am - 12:00 pm
Session II: Technology

Carla Pugh

Carla Pugh
Professor of Surgery and Director of the Technology Enabled Clinical Improvement (T.E.C.I.) Center, Stanford Medicine
Pugh's research involves the use of simulation and advanced engineering technologies to develop new approaches for assessing and defining competency in clinical procedural skills.

Nick Haber

Nick Haber, Assistant Professor of Education and Computer Science (by courtesy), Stanford Graduate School of Education
Haber co-founded the Autism Glass Project at Stanford. In addition to developing learning and therapeutic tools, his research group also makes artificial intelligence systems to mimic and model learning.


12:00 pm - 12:10 pm
Break and Project Spotlight

12:10 pm - 1:00 pm
Session III: Data

Victor Lee

Victor Lee, Associate Professor of Education, Stanford Graduate School of Education
Lee leads the Data Interactions & STEM Teaching and Learning Lab. Through his research, he tries to understand and create new opportunities for people of all ages to learn STEM content and practices with the support of emerging digital technologies. 


Emma Brunskill

Emma Brunskill, Associate Professor of Computer Science and Education (by courtesy), Stanford School of Engineering
Brunskill’s work focuses on reinforcement learning in high-stakes scenarios such as how we can learn from experience to make good decisions when experience is costly or risky.