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Direct linkWanzer, Dana Linnell; McKlin, Tom; Freeman, Jason; Magerko, Brian; Lee, Taneisha – Computer Science Education, 2020
Background and Context: EarSketch was developed as a program to foster persistence in computer science with diverse student populations. Objective: To test the effectiveness of EarSketch in promoting intentions to persist, particularly among female students and under-represented minority students. Method: Meta-analyses, structural equation…
Descriptors: Intention, Student Participation, Persistence, Computer Science Education
Magerko, Brian; Freeman, Jason; McKlin, Tom; Reilly, Mike; Livingston, Elise; McCoid, Scott; Crews-Brown, Andrea – ACM Transactions on Computing Education, 2016
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…
Descriptors: Art Education, STEM Education, Computer Science Education, Disproportionate Representation
