Stephanie R. Taylor
Papers
1
Total Citations
4
H-Index
1
About
Stephanie R. Taylor is a computer science education researcher whose work centers on broadening participation in computing through context-based introductory courses. Her most cited study, "Comparing Outcomes Across Different Contexts in CS1" (2017), systematically evaluates how themed CS1 courses—such as those focused on Media Computation, Robotics, Games, and Art—impact student retention and gender balance, two critical challenges in the field. Drawing on over a decade of experience at Colby College, where she has taught a Visual Media-focused CS1 course since 2008, Taylor’s research provides empirical evidence that contextualized curricula can significantly improve outcomes for diverse student populations. Her work has been cited 4 times and is influential in shaping pedagogical strategies that make computing more accessible and engaging. By demonstrating that the choice of context matters—not just for learning but for equity—Taylor has helped shift the conversation in CS education toward inclusive, student-centered design. Her contributions are particularly valuable for educators seeking evidence-based approaches to address underrepresentation in computing.
Research Focus
Key Achievements
Top Papers
- 1Comparing Outcomes Across Different Contexts in CS14 citations · 2017