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Simone Elias; Edward Cromarty; Linda Wilson-Jones – Journal of Research Initiatives, 2022
This article approaches the problem of underrepresentation of women and marginalized ethnic groups in the computer science fields from a developmental learning perspective. It proposes that systemic social barriers need to be addressed to overcome the bias toward women in the technological fields. The article surmises that even though stereotypes…
Descriptors: Barriers, Females, Minority Group Students, Ethnic Groups
Kayleigh Danielle Romero – ProQuest LLC, 2023
The purpose of this quantitative study was to determine any correlations between an increase in knowledge from activities which utilize self-paced learning, inquiry-guided learning, and collaborative learning pedagogical strategies and students' intentions to pursue science, technology, engineering, and mathematics (STEM) and computer science…
Descriptors: Pacing, Independent Study, Inquiry, Active Learning
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Maha 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
Fry, Rick; Kennedy, Brian; Funk, Cary – Pew Research Center, 2021
For this report, the authors analyzed federal government data to look at gender, racial and ethnic diversity among those employed in and earning degrees in science, technology, engineering and math (STEM). Analysis of the STEM workforce is based solely on occupation, using data from the U.S. Census Bureau's 1990 and 2000 U.S. decennial censuses…
Descriptors: Gender Differences, Racial Differences, Disproportionate Representation, Federal Government