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Direct linkAmanda 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
Amanda Peel; Sugat Dabholkar; Gabriella Anton; Mike Horn; Uri Wilensky – Computer Science Education, 2024
Background and Context: To better reflect the computational nature of STEM disciplines and deepen learning of science content computational thinking (CT) should be integrated in science curricula. Teachers have a critical role in supporting effective student learning with CT integrated curricula in classroom settings. Objective: Our team worked…
Descriptors: Biology, Computer Science Education, Science Instruction, Thinking Skills
