A Qualitative Study on Engaging Students in Computing Through Computational Remixing with EarSketch

Abstract

Computer Science fields have a difficult time engaging underrepresented populations such as African Americans and women. EarSketch is an approach to engage these student through authentic STEAM learning involving computational music remixing. EarSketch has been used in several pilot studies. In this study, students from one pilot study participated in a focus group to understand the effectiveness of EarSketch in engaging underrepresented minorities. Qualitative analysis shows a variety of contributing factors in engagement such as motivation, confidence, identity, conceptualization, and creativity.