“Cultural-Centric Computational Embroidery,” Coauthored by Megumi Kivuva ’22, Wins Best Paper at SIGCSE TS 2024
How does one combat disparities in access to computer science classes for historically marginalized populations? One answer, proposed in a paper coauthored by Bard alum Megumi Kivuva ’22, could be embroidery. “We’ve come a long way as a country in offering some computer science courses in schools,” Kivuva said to the University of Washington. “But we’re learning that access doesn’t necessarily mean equity. It doesn’t mean underrepresented minority groups are always getting the opportunity to learn.” Using Turtlestitch, an open-source coding language, Kivuva and their coparticipants worked with 12 students from demographically diverse backgrounds, using a unique pedagogical approach “where the students had a say each week in what they learned and how they’d be assessed,” the University of Washington reports. “We wanted to dispel the myth that a coder is someone sitting in a corner, not being very social, typing on their computer,” Kivuva said. The subsequent paper on their findings, “Cultural-Centric Computational Embroidery,” won Best Paper at the inaugural technical symposium of Special Interest the Group on Computer Science Education (SIGCSE).
Post Date: 04-09-2024
Post Date: 04-09-2024