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Roy Pea

Photo of Roy Pea

Roy Pea


- Google Scholar

Assistant: John Baker

Office: CERAS 409


Roy Pea is David Jacks Professor of Education & Learning Sciences at Stanford University, School of Education, and Computer Science (Courtesy), and has been Director of the H-STAR Institute, Wallenberg Hall, 450 Serra Mall, Bldg. 160, Stanford, CA 94305; His studies and publications in the learning sciences focus on advancing theories, research, tools and social practices of technology-enhanced learning of complex domains, including his role as Co-Director and Co-PI of the NSF-funded LIFE Center (2004-2014), which sought to develop and test principles about the social foundations of human learning in informal and formal environments with the goal of enhancing human learning from infancy to adulthood. He is also founder and Director of Stanford’s PhD program in Learning Sciences and Technology Design. He is co-author of the 2010 National Education Technology Plan for the US Department of Education, co-editor of Mirrors of Minds: Patterns of Experience in Educational Computing (1987), Video Research in the Learning Sciences (2007), Learning Analytics in Education (2018), The Routledge Handbook of the Cultural Foundations of Learning (2020), AI in Education (2022), and co-author of the National Academy of Sciences books: How People Learn (2000), and Planning for Two Transformations in Education and Learning Technology (2003). He is a Fellow of the American Academy of Arts and Sciences, National Academy of Education, Association for Psychological Science, the American Educational Research Association, and the Center for Advanced Study in the Behavioral Sciences. In 2004-2005, Roy was President of the International Society for the Learning Sciences. Roy served from 1999-2009 as a Director for Teachscape, a video-based teacher professional development services company he co-founded with CEO Mark Atkinson.

Other Titles

Professor, Graduate School of Education
Professor (By courtesy), Computer Science
Faculty Affiliate, Institute for Human-Centered Artificial Intelligence (HAI)
Member, Wu Tsai Neurosciences Institute

Program Affiliations

Learning Sciences and Technology Design (LSTD)
Race, Inequality, and Language in Education (RILE)
SHIPS (PhD): Education Data Science
Stanford Accelerator for Learning

Research Interests

Brain and Learning Sciences | Child Development | Collaborative Learning | Curriculum and Instruction | Data Sciences | Diversity and Identity | Environmental Education | Equity in Education | Race and Ethnicity | Science Education | Teachers and Teaching | Technology and Education

See a full list of GSE Faculty research interests >

Recent Publications

Reynante, B., Ardoin, N. M., & Pea, R. (2024). Reducing the cognitive abstractness of climate change through an "engineering fiction" learning experience: A natural language processing study. JOURNAL OF ENVIRONMENTAL PSYCHOLOGY, 95.

Maples, B., Cerit, M., Vishwanath, A., & Pea, R. (2024). Loneliness and suicide mitigation for students using GPT3-enabled chatbots. Npj Mental Health Research, 3(1), 4.

Daneshvar, D. H., Baugh, C. M., Lama, R. D., Yutsis, M., Pea, R. D., Goldman, S., … Sorcar, P. (2021). Participating in Two Video Concussion Education Programs Sequentially Improves Concussion-Reporting Intention. Neurotrauma Reports, 2(1), 581–591.

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