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Amanda A. Barrett; Colin T. Smith; Courtni H. Hafen; Emilee Severe; Elizabeth G. Bailey – Computer Science Education, 2024
Background and Context: While biology has strong female representation, computer science is the least gender equitable of the STEM fields. A better understanding of the barriers that keep women out of computational fields will help overcome those barriers to create a more diverse workforce. Objective: We investigated the complexities that…
Descriptors: Sex Role, Majors (Students), Prior Learning, Computer Science Education
Searle, Kristin A.; Tofel-Grehl, Colby; Fischback, Liam; Hansen, Tyler – Computer Science Education, 2023
Background and Context: There is a need for teachers who are prepared to teach integrated CS/CT throughout the K-12 curriculum. Drawing on three vignettes of teacher instructional practice, we build on a growing body of literature around how teachers integrate CS/CT into their classrooms after attending CS/CT focused professional development.…
Descriptors: Affordances, Barriers, Teaching Styles, Computer Science Education