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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
Edwards, John; Hart, Kaden; Shrestha, Raj – Journal of Educational Data Mining, 2023
Analysis of programming process data has become popular in computing education research and educational data mining in the last decade. This type of data is quantitative, often of high temporal resolution, and it can be collected non-intrusively while the student is in a natural setting. Many levels of granularity can be obtained, such as…
Descriptors: Data Analysis, Computer Science Education, Learning Analytics, Research Methodology