Abstract

College-educated women in the workforce are discovering a latent interest in and aptitude for computing motivated by the prevalence of computing as an integral part of jobs in many fields as well as continued headlines about the number of unfilled, highly paid computing jobs. One of these women's choices for retraining are the so-called coding boot camps that teach programming skills through intensive multi-week courses. This article reports on a qualitative research study focused on the Silicon Valley area of California. We used social cognitive career theory (SCCT) to investigate the larger context surrounding women entering computing professions through boot camp learning sites, including: the environment of a booming technology workforce, boot camps as learning settings , the characteristics of women who attend boot camps, how retraining at a coding boot camp influence women's computing self-efficacy and outcome expectations , and the performance attainments of women at boot camps. Interview data was collected from 14 women who had attended boot camps—first before graduating from the boot camp and again after six months in the workforce. To contextualize the computing ecosystem, we conducted single interviews with 6 boot camp organizers/curriculum developers, 7 industry hiring managers, and 14 university computer science faculty. To provide a contrast with women at boot camps, we interviewed 5 women who majored in computer science at the university and with 17 men who had attended boot camps. Structural data coding and analysis was done focused on the SCCT mechanisms of environment, person inputs, learning experiences, self-efficacy, outcome expectations, and performance attainments. Findings here demonstrate that training at a boot camp can be the catalyst for college-educated women to attain computing jobs and careers, although these entry-level jobs may be a compromise to the goal of a software development job and are unlikely to lead to a job at large, well-known, established technology companies.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call