Minneapolis, MN
August 23, 2022
June 26, 2022
June 29, 2022
11
10.18260/1-2--40515
https://peer.asee.org/40515
471
Dr. Billionniere is a Senior Associate Professor in the School of Engineering and Technology at Miami Dade College (MDC), where she leads the Cloud Computing Literacy Initiative. She has helped MDC secure over $3 million in federal funding the past three years for STEM and emerging technology education program.
Dr. Billionniere's leadership and mentoring have been celebrated and recognized, most recently with the 2021-2023 The Northern Trust Bank of Florida Endowed Teaching Chair and 2019 Women of Color STEM’s College-Level Promotion of Education Award.
Dr Farzana Rahman is an Associate Teaching Professor at the EECS department of Syracuse University. Her research spans the domains of mobile healthcare, healthcare data analytics, and pervasive health technologies. Broadly, my research focuses on integrating mobile and pervasive technologies in health and wellness environments to improve users’ quality of life, mental and physical wellbeing. My research also expands in the direction of mobile security, information and communication technology for development (ICT4D), broadening participation in CS/ IT discipline through the exploration of 1) discipline-based education research to inform pedagogical practices that garner interest and retain women and minorities; 2) success factors contributing to the persistence and success of students (both traditional and non-traditional) in introductory programming courses; 3) how different pedagogical practices can increase underrepresented student performance in CS/IT courses; 4) factors of success impacting student performance in online and inverted classrooms within computing majors and 5) how effective re-entry pathways can facilitate transition of returning women in computing based discipline.
These past two years, COVID-19 has added to the industry’s gender and ethnic underrepresentation issues. The pandemic’s reallocation shock has caused more than 31 million Americans to rely on unemployment. A recent study estimates 32-42% of these layoffs will become permanent, which will be felt more acutely by minority communities. As the pandemic continues to sharpen inequalities in America’s economy, nearly eight times the number of women left the workforce compared to men last year. These rates were higher for women of color. To broaden participation and fill a growing need for skilled workers in computing, it is important to consider innovative pathways that delve into untapped pools of talent for training and recruitment. It has been estimated that by 2030, approximately one-third to a half of employees may desire new occupations or may need to either reskill or upskill. Some niches within the computing fields, like emerging technologies (EmTech) (e.g., cloud computing, data science, cybersecurity, and artificial intelligence), are expected to grow job opportunities more quickly than others. The demands of these jobs can only be fulfilled by creating opportunities for one of the largest untapped Science, Technology, Engineering, and Mathematics (STEM) talent pools: adult women. We conducted a series of four virtual focus groups with 18 adult women of color in total, specifically Hispanic and Black women. These women are (re-)entering the computing field through emerging technology pathways. The goal of the focus group interviews was to identify the reasons for their career and/or educational breaks, barriers they faced and/or are currently facing in their studies and/or employment, and suggested strategies and actions to mitigate these barriers. In this paper, we present the details of the focus group findings summarized based on the qualitative study. The proposed mitigations voiced by the participants can be used as a baseline to build or increase the pipeline in the computing field by providing a suitable and flexible learning environment for returning and adult women.
Billionniere, E., & Rahman, F. (2022, August), Women of Color in Emerging Technology: Breaking Down the Barriers Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2--40515
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