In our first national study published in 2021, we examined who are PreK-12 CS teachers in the United States. In this 2022 follow-up study, we sought a more nuanced understanding of teachers’ perceptions of how to move towards a vision of equitable CS. This report draws on a national sample of PreK-12 CS teachers to examine their views of both their professional development needs and institutional changes required to transform CS classrooms to be more identity-inclusive.
Despite the growing racial and ethnic diversity of the U.S. PreK-12 student body, the majority of CS teachers identified as white, women, and non-disabled, situated predominantly in high income and less racially diverse high schools.
“I am the only person in my district that teaches computer science, so building a strong professional learning network would be beneficial. Having this group that you would feel comfortable asking questions and building knowledge with would be vital.”
High School CS Teacher from Nebraska
“[Computer science] needs to be seen as equal to math and reading. It’s a support for core classes and should be seen as fundamental. We need resources.”
K-8 CS Teacher from Arizona
Realizing our vision of equitable computer science requires collective action and investment from a broad community, including teachers, administrators, policymakers, and curricula and professional development providers. Accordingly, we have listed concrete actions and resources aligned to these recommendations. Select your area to learn more.
This interactive dashboard shows the demographics of PreK-12 CS teachers who completed our national survey in 2022 and a summary of their responses to selected items. Click the tabs across the top to show responses related to different topics, including universal access to CS education, confidence in using identity-inclusive computing practices, teacher identity within the CS community, and the resources and support teachers requested. Use the dropdown menus at the top to filter by state and school characteristics (i.e., income level, racial diversity, and grade levels), and the data will automatically update.
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Access Previous Reports