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POSTPONED: Boston: Transforming Education with Data (Canceled)

Event Details

Mon, April 27, 2020
06:00PM - 08:00PM
The Omni Parker House
60 School Street, Boston MA 02108
Map address
Registration Period:
Cam Moore, AM '67, PhD '73

Due to the evolving risk associated with the COVID-19 outbreak and out of concern for the well-being of our guests, the University’s senior leadership has recommended that events such as this one be postponed indefinitely. All guests will receive a refund for their event registraton fee. We regret any inconvenience this change of plans may cause. We thank you for your understanding and appreciate your support.


6:00pm: Check-in and reception
6:45pm: Welcome remarks from Dean Dan Schwartz
6:50pm: Micro-lectures by Sean Reardon and Victor Lee
7:15pm: Panel conversation and Q&A
7:50pm: Concluding remarks and post-event dessert and beverages


Join fellow alumni and friends for a community conversation with Dan Schwartz, Dean of the Stanford Graduate School of Education, and Professors Sean Reardon and Victor Lee on innovations and research that can enable learners, educators, and policymakers to transform human learning, its measurement, and its impact.

The past decade has seen a dramatic acceleration in educationally relevant data collection that create limitless possibilities for discoveries and improvement at all levels of the education system. Dean Schwartz and Professors Reardon and Lee will discuss how Stanford and the Graduate School of Education are tackling challenges and opportunities to educate for a data-infused world.


All Stanford alumni, their guests, and friends are welcome to attend
Check-in and reception at 6:30pm
Remarks and discussion begin at 6:45pm
Reception includes includes hors d’oeuvres and beverages


Victor R. Lee is an associate professor at the Stanford Graduate School of Education. Through his research, Lee tries to understand the new opportunities for people of all ages to learn STEM content and practices with the support of emerging digital technologies. Current research examines computational thinking in elementary school, teaching and learning about data in K-12 settings, self-tracking, and learning from quantified self-practices. Lee earned his doctorate in Learning Sciences at Northwestern University where he was supported for several years through a fellowship with the NSF-funded Center for Curriculum Materials in Science. Since leaving the Midwest and beginning his professional academic career, he has received the National Science Foundation CAREER award, the Jan Hawkins Award, and a post-doctoral fellowship from the National Academy of Education and the Spencer Foundation. Victor is president-elect of the International Society of the Learning Sciences.

Sean F. Reardon is the endowed Professor of Poverty and Inequality in Education, Professor (by courtesy) of Sociology, and Senior Fellow at the Stanford Institute for Economic Policy Research at Stanford University. His research focuses on the causes, patterns, trends, and consequences of social and educational inequality, the effects of educational policy on educational and social inequality, and in applied statistical methods for educational research. Reardon is the developer of the Stanford Education Data Archive (SEDA). Based on 350 million standardized test scores, SEDA provides measures of educational opportunity, average test score performance, academic achievement gaps, and other information for every public school district in the nation. Professor Reardon received his doctorate in education in 1997 from Harvard University. He is a member of the National Academy of Education and the American Academy of Arts and Sciences. He is also a recipient of the William T. Grant Foundation Scholar Award, the National Academy of Education Postdoctoral Fellowship, and is an Andrew Carnegie Fellow.

Daniel L. Schwartz is the I. James Quillen Dean and Nomellini & Olivier Professor of Educational Technology at the Stanford Graduate School of Education. An expert in human learning and educational technology, Schwartz oversees a laboratory whose computer-focused developments in science and math instruction permit original research into fundamental questions of learning. Schwartz studies student understanding and representation and the ways that technology can facilitate learning. His book, The ABCs of How We Learn: 26 Scientifically Proven Approaches, How They Work and When to Use Them, distills learning theories into practical solutions for use at home or in the classroom. NPR noted the book among the "best reads" for 2016.

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