Leveraging Distributed Intelligence
Roy Pea is David Jacks Professor of Education & Learning Sciences at Stanford University, Graduate School of Education, and (by courtesy) Computer Science, and Director of the H-STAR Institute. 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, which seeks 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 the 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 Video Research in the Learning Sciences (2007), and co-author of the National Academy of Sciences book: How People Learn (2000). He is a Fellow of the National Academy of Education, Association for Psychological Science, the American Educational Research Association, and the Center for Advanced Study in the Behavioral Sciences.
Roy describes how learning is situated in the context of distributed intelligence, which creates pathways for learning.
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