This article presents EarSketch, a learning environment that combines computer programming with sample-based music production to create a computational remixing environment for learning introductory computing concepts. EarSketch has been employed in both formal and informal settings, yielding significant positive results in student content knowledge and attitudes toward computing as a discipline, especially in ethnic and gender populations that are currently underrepresented in computing fields. This article describes the rationale and components of EarSketch, the evaluation design, and lessons learned to apply to future environment design and development.
Magerko, B., Freeman, J., Mcklin, T., Reilly, M., Livingston, E., Mccoid, S., & Crews-Brown, A. (2016). EarSketch: A STEAM-Based Approach for Underrepresented Populations in High School Computer Science Education. ACM Transactions on Computing Education (TOCE), 16(4), 14.