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Download full textNicholas D. Evans; Perla C. Perez; Osvaldo F. Morera – Journal of STEM Outreach, 2025
In many educational intervention programs, it is not possible to randomly assign students to an experimental and control condition. For example, in our research we wanted to compare students who were enrolled in a biomedical pathway program to students who were not in such a program. However, students select their academic pathway program and a…
Descriptors: Statistical Analysis, Research Methodology, Science Education, Educational Research
Rich, Peter Jacob; Hu, Helen; Christensen, James; Ellsworth, Jordan – Grantee Submission, 2019
This report provides a comprehensive look at computer science (CS) education across Utah elementary, middle/jr. high, and high schools as of 2018. The Utah Expanding Computing Education Pathways (ECEP) team sent out a survey to all public schools in the state of Utah. The survey presented targeted questions depending on whether it was completed…
Descriptors: Computer Science Education, Public Schools, Teacher Attitudes, Enrollment Trends
Direct linkMagerko, 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
