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

Files
LIVINGSTON-UNDERGRADUATERESEARCHOPTIONTHESIS-2014.pdf (3.29 MB)
Author(s)
Livingston, Elise
Advisor(s)
Editor(s)
Associated Organization(s)
Organizational Unit
Organizational Unit
Series
Collections
Undergraduate Scholarship
Supplementary to:
Permanent Link
http://hdl.handle.net/1853/53733
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.
Sponsor
Date
2014-05-02
Extent
Resource Type
Text
Resource Subtype
Undergraduate Thesis
Rights Statement
Rights URI