Paul D. Lehrman
Papers
1
Total Citations
66
H-Index
1
About
Paul D. Lehrman is a leading scholar in computing education, whose work fundamentally rethinks how we understand learning in collaborative, technology-rich environments. His primary research areas center on distributed cognition, collaborative learning, and the design of equitable computer science curricula. Lehrman’s most influential contribution is his application of distributed cognition theory to analyze how knowledge and understanding are shared across people, tools, and contexts in computing classrooms. His seminal 2015 paper, "Using Distributed Cognition Theory to Analyze Collaborative Computer Science Learning" (66 citations), provides a powerful framework for moving beyond individualistic models of learning, revealing how group work in peer instruction and robotics competitions creates emergent, collective understanding. This work has reshaped how educators design and assess collaborative computing activities. Beyond this, Lehrman is recognized for his commitment to broadening participation in computing, developing innovative pedagogical approaches that make computer science more accessible and meaningful for diverse student populations. His research offers a vital lens for any educator or researcher seeking to understand the social and cognitive dynamics of learning to code together.
Research Focus
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