Publication | Open Access
"I Don't Code All Day"
141
Citations
45
References
2016
Year
Unknown Venue
Gendered PerceptionEngineeringEducational PsychologyEducationStem EducationBiasStereotypesData CodingCoding TheorySingular FocusSocial IdentityBehavioral SciencesCode GenerationStudent SuccessComputer ScientistsLearning AnalyticsComputer ScienceCode RepresentationHigher Education
Stereotypes of computer scientists are relevant to students' performance and feelings of belonging. While efforts exist to change these stereotypes, we argue that it may be possible to challenge a student's belief that stereotypes of computer scientists are relevant to whether they can become a computer scientist. In our previous work, we presented a model of five factors that influence students' decisions to major in computer science (CS). Data were collected from interviews with 31 students enrolled in introductory CS courses at two public universities in the United States. Here we elaborate on our grounded theory of one of these factors: how students assess their fit with CS. We describe how students measure their fit with CS in terms of the amount they see themselves as expressing the traits of singular focus, asocialness, competition, and maleness and how students make interpretations and decisions based upon these measurements. We found that students' interpretations were influenced by their attitudes toward the nature of stereotypes.
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