Victor Lee

Associate Professor of Learning Sciences and Technology Design at Stanford University

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About

Victor R. Lee, Ph.D. is Associate Professor of Learning Sciences and Technology Design in the Graduate School of Education at Stanford University. He had previously been employed at Utah State University and completed his doctoral training at Northwestern University. This range of experiences and institutions provided him with a breadth of perspectives on education and educational systems that range from those serving rural areas to those in major urban centers. His major focus and specializations have been in STEM education, with particular interest in how people interact with and learn with data, maker education, and elementary computer science education. More broadly, he has expertise on learning theory and instructional technology. He has been recognized as a highly influential researcher early in his career with distinctions and honors from the National Science Foundation, the American Educational Research Association, and the National Academy of Education. His research has been funded by a range of government and private sources. Recently, he served as an author on the National Academies of Science, Engineering, and Medicine consensus report related to pre-collegiate computing education. His research has been published dozens of papers in top academic journals. To date, Victor has published two books (1) Learning Technologies and the Body and (2) Reconceptualizing Libraries and been an invited speaker at international conferences and for private organizations.

Ask me about
K-12 experiential learning
International Society of Learning Sciences
Digital learning
Education technology
science education
STEM education
Work experience
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Jul 2019 - Present

Stanford University

Associate Professor

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Jan 2009 - Jun 2019

Utah State University

Associate Professor

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Jan 2003 - Dec 2008

Northwestern University

Research Assistant

Education

2002 - 2008

Northwestern University

PhD, Learning Sciences

Doctoral training in learning sciences, an interdisciplinary field that examines and advances new forms of learning, learning environments, and learning technologies with influence from cognitive science, sociocultural theory, and design.

1997 - 2001

UC San Diego

BS, Cognitive Science

Study of mind, brain, and behavior with formal specialization in human-computer interaction. Training covered aspects of cognitive psychology, artificial intelligence, and neuroscience.

1997 - 2001

UC San Diego

BA, Math (Applied)

Mathematics focused on applications with primary coursework concentrations in number theory and computational applications.

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