The Impact of Gender Roles and Previous Exposure on Major Choice, Perceived Competence, and Belonging: A Qualitative Study of Students in Computer Science and Bioinformatics Classes
Background and ContextWhile biology has strong female representation, computer science is the least gender equitable of the STEM fields. A better understanding of the barriers that keep women out of computational fields will help overcome those barriers to create a more diverse workforce.ObjectiveWe investigated the complexities that influence students’ major choice and their sense of belonging. We were particularly interested in students adjacent to computer science and differences by gender.MethodWe conducted semi-structured interviews of nineteen students from computer science or bioinformatics courses. We used inductive thematic analysis that included iterative readings of interview transcripts, line-by-line coding, and final theme selection.FindingsMost students described pressures stemming from traditional gender roles as they chose their major, but specific pressures differed by gender. Men were more likely to report early exposure to their major field, and women noted feeling behind without those early experiences. This hurt the women’s sense of belonging, as did having few female peers.ImplicationsIncreasing early exposure to coding may increase women’s representation and sense of belonging in computational fields. Women from contexts with emphasis on traditional gender roles may be drawn to computational fields if they see opportunities for flexible positions.
The Impact of Gender Roles and Previous Exposure on Major Choice, Perceived Competence, and Belonging: A Qualitative Study of Students in Computer Science and Bioinformatics Classes
- Author Barrett, Amanda A. and Smith, Colin T. and Hafen, Courtni H. and Severe, Emilee and Bailey, Elizabeth G.
- Publication Title Computer Science Education
- Publication Year 2022
- BPC Focus Gender
- Methodology Qualitative
- Analytic Method NA
- Institution Type NA
- DOI 10.1080/08993408.2022.2160144
- URL https://doi.org/10.1080/08993408.2022.2160144