Visualizing Progress in Broadening Participation in Computing: The Value of Context

Author:

Barr Valerie1,Brodley Carla E.2,Pérez-Quiñones Manuel3

Affiliation:

1. Bard College, Annandale-on-Hudson, NY

2. Northeastern University, Boston, MA

3. University of North Carolina at Charlotte, Charlotte, NC

Abstract

To improve diversity and BPC analysis and assessment, institutions should examine cohort-based data, report intersectional data as a norm, and consider university demographic context.

Funder

National Science Foundation

Publisher

Association for Computing Machinery (ACM)

Reference22 articles.

1. Disciplinary thinking, computational doing

2. Expanding the pipeline: Addressing the distribution of prior experience in CS1;Brodley C.E.;Computing Research News 34,2022

3. Diagnosing why Representation Remains Elusive at your University: Lessons Learned from the Center for Inclusive Computing's Site Visits

4. Further Considerations on the Methodological Analysis of Segregation Indices

5. Demarginalizing the intersection of race and sex: A Black feminist critique of antidiscrimination doctrine, feminist theory and antiracist politics;Crenshaw K.W.;University of Chicago Legal Forum,1989

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