Kevin Keith
Papers
1
Total Citations
2
H-Index
1
About
Kevin Keith’s research sits at the intersection of computer science education, collaborative learning, and equity, with a particular focus on how marginalized or peripherally positioned learners engage meaningfully in technical group work. His most cited work, “Learning from the Periphery in a Collaborative Robotics Workshop for Girls” (2016), draws on ethnographic observation of an all-girl robotics workshop to reveal how students who are not at the center of group activity can still experience deep, substantive learning. This study challenges dominant narratives that equate participation with centrality, offering a more nuanced framework for understanding inclusion in computing education. Although his citation count is modest—with this paper accruing just 2 citations—its conceptual contribution is significant for researchers designing equitable, collaborative STEM learning environments. Keith’s work is especially valuable for educators and designers seeking to recognize and support diverse forms of engagement in hands-on, team-based technical settings. By foregrounding the periphery as a site of learning, he invites a rethinking of what it means to participate, succeed, and belong in computer science.
Research Focus
Key Achievements
Top Papers
- 1