Understanding the Prevalence of a Microaggression in CS and its Influence on Students' Self-Efficacy, Belonging, and Persistence

Students from historically underrepresented communities in computer science (CS) report being told that their successes are due to special treatment based on their gender and/or racial identity. We refer to this microaggression as the discounting-success microaggression.We analyzed survey responses from 4,327 CS majors across 221 institutions in the U.S. We found that students who identify as women, Black, and/or Asian were more likely than men and white students, respectively, to report the discounting-success microaggression. This discounting-success microaggression significantly and negatively predicts students' self-efficacy, sense of belonging, and plans to persist in CS. Our results elucidate the negative influence of the discounting-success microaggression on CS student outcomes. Efforts are needed to improve the culture and interactions in CS to eliminate the prevalence of this harmful microaggression.

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Publication Details

Published
2025-02-12
DOI
https://doi.org/10.1145/3641554.3701878
Citations
2
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
3.39
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article

Understanding the Prevalence of a Microaggression in CS and its Influence on Students' Self-Efficacy, Belonging, and Persistence

Christopher Perdriau, Kari L. George, Colleen M. Lewis
2 citations
Teaching and Learning Programming
3.39
article

Understanding the Prevalence of a Microaggression in CS and its Influence on Students' Self-Efficacy, Belonging, and Persistence

Christopher Perdriau, Kari L. George, Colleen M. Lewis
article en
2 citations

Abstract

Students from historically underrepresented communities in computer science (CS) report being told that their successes are due to special treatment based on their gender and/or racial identity. We refer to this microaggression as the discounting-success microaggression.We analyzed survey responses from 4,327 CS majors across 221 institutions in the U.S. We found that students who identify as women, Black, and/or Asian were more likely than men and white students, respectively, to report the discounting-success microaggression. This discounting-success microaggression significantly and negatively predicts students' self-efficacy, sense of belonging, and plans to persist in CS. Our results elucidate the negative influence of the discounting-success microaggression on CS student outcomes. Efforts are needed to improve the culture and interactions in CS to eliminate the prevalence of this harmful microaggression.

University of Illinois Urbana-Champaign (US)
Reduced inequalities
Openalex Percentile: Top 8%
Teaching and Learning Programming
3.39
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Understanding the Prevalence of a Microaggression in CS and its Influence on Students' Self-Efficacy, Belonging, and Persistence — Christopher Perdriau, Kari L. George, et al. · (2025) | TGRS Research Map | TGRS