Emily Baehr

University of Pittsburgh

Papers

3

Total Citations

306

H-Index

3

About

Emily Baehr is an educational researcher whose work sits at the intersection of computational thinking, robotics education, and equity in STEM learning. Her most influential contribution, "Developing Computational Thinking through a Virtual Robotics Programming Curriculum" (2017), has garnered 148 citations and provides rare empirical evidence that robotics programming environments can effectively cultivate core computational thinking competencies in students. Baehr's research extends beyond technical skill-building to examine who gets access to these learning opportunities. Her 2016 study, with 81 citations, revealed how gender, prior experience, and individual interest shape students' opportunities to engage in programming within robotics competitions—highlighting systemic inequities within a field often assumed to be a neutral gateway into computer science. Complementing this equity-focused lens, her 2017 work on collaboration quality (77 citations) demonstrated that how robotics teams work together meaningfully predicts tournament performance, underscoring the importance of 21st-century teamwork skills alongside technical ones. Together, Baehr's scholarship has shaped how educators and researchers understand robotics competitions not merely as technical contests, but as complex social and educational environments where access, collaboration, and meaningful learning intersect.

Research Focus

Key Achievements

3
H-Index
3
Papers
306
Total Citations
102
Avg Citations/Paper
🏆 Most Cited Paper
Developing Computational Thinking through a Virtual Robotics Programming Curriculum
148 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Pittsburgh

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago