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Direct linkHaeryun Kim – Policy Futures in Education, 2025
This study explores how high school computer science (CS) course enrollment differs by student background through an intersectional lens. I use statewide data from North Carolina that contains longitudinal student-level background and course-taking information from 2005-2006 to the 2018-2019 school year and estimate linear probability models…
Descriptors: Computer Science Education, Course Selection (Students), High School Students, Intersectionality
Download full textMaha Elsinbawi; Aaminah Norris; Abigail Cohen; Maureen A. Paley – International Journal of Computer Science Education in Schools, 2023
This paper reports on the findings of a Design-Based Research (DBR) study that investigated the transformative learning of six high school computer science teachers after they participated in a professional development (PD) training with a focus on Culturally Responsive Computing (CRC). Findings from the statistical analysis of pre-and…
Descriptors: Transformative Learning, Females, Ethnic Groups, Minority Group Students
Allison Master; Daijiazi Tang; Desiree Forsythe; Taylor M. Alexander; Sapna Cheryan; Andrew N. Meltzoff – Grantee Submission, 2023
Learning coding during early childhood is an effective way for children to practice computational thinking. Aspects of children's motivation can increase the likelihood that children approach computational thinking activities with enthusiasm and deep engagement. Gender inequities may interfere with children's readiness to take advantage of…
Descriptors: Coding, Gender Differences, Equal Education, Computer Science Education
