Dr. Victor Lee

Associate Professor

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Biography

Victor R. Lee is an Associate Professor at the Graduate School of Education at Stanford University and leads the AI Education initiative for the Stanford Accelerator for Learning. His research focuses on developing future-facing STEM education tools and practices to foster active participation in an increasingly digitally-infused world. Currently, he is engaged in designing learning experiences and resources related to data literacy and K-12 data science education, alongside enhancing artificial intelligence literacy for students and teachers. His research portfolio includes elementary computer science education, maker education, and cognition in science. Lee's work emphasizes partnerships in research practice, aiming to design and implement learning experiences in real educational settings like schools and libraries. He has co-authored national reports on computing and data education featured in prominent media outlets. Lee earned his PhD in Learning Sciences from Northwestern University and has received numerous awards, including the National Science Foundation CAREER Award and the Jan Hawkins Award.

Research Interests

Experience

Associate Professor

2022-01-01 — Present

Stanford University • Stanford, CA

Lead the initiative for AI Education at the Stanford Accelerator for Learning.

Associate Professor

2015-01-01 — 2019-01-01

Utah State University • Logan, UT

Served in the Department of Instructional Technology & Learning Sciences.

Assistant Professor

2009-01-01 — 2015-01-01

Utah State University • Logan, UT

Worked in the Department of Instructional Technology & Learning Sciences.

Awards

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Distinguished Development Award

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Fellow

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Fellow

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Outstanding Research Award

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Postdoctoral Fellowship

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Jan Hawkins Award

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CAREER Award

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.