Elise Deitrick

Tufts University

Papers

1

Total Citations

66

H-Index

1

About

Elise Deitrick is a leading researcher in computing education, whose work bridges cognitive science and collaborative learning. Her primary research areas include distributed cognition theory, collaborative problem-solving in computer science, and the design of equitable learning environments. Deitrick’s most influential contribution, “Using Distributed Cognition Theory to Analyze Collaborative Computer Science Learning” (2015, 66 citations), fundamentally reframes how we understand knowledge construction in group settings. Rather than focusing solely on individual skill acquisition, she demonstrates that understanding in computing—whether in peer instruction, robotics competitions, or pair programming—can be distributed across people, tools, and contexts. This work challenges traditional assessment models and has shaped new pedagogical approaches that value collective intelligence. Deitrick’s research has been instrumental in advancing theories of collaborative learning, offering educators and curriculum designers a robust framework for analyzing how groups co-construct computational knowledge. Her findings are widely cited in studies of computer-supported collaborative learning and K-12 computing education, underscoring her impact on both theory and practice. Through her nuanced analysis of group dynamics, Deitrick continues to influence how researchers and teachers think about learning in computing.

Research Focus

Key Achievements

1
H-Index
1
Papers
66
Total Citations
66
Avg Citations/Paper
🏆 Most Cited Paper
Using Distributed Cognition Theory to Analyze Collaborative Computer Science Learning
66 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Tufts University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago