Stark inequities evident in the low representation of Black women in Science, Technology, Engineering, Mathematics, and Medicine (STEMM) careers persist despite considerable investment in the diversification of the education-to-workplace STEMM pipeline. College participation rates of Black women measure 4-5% of all degrees in biological and physical sciences, 2-3% of degrees in computer science and math, and roughly 1% in engineering. Ultimately, Black women make up only 2.5% of the workforce in STEMM-related fields, indicating that they chronically experience stalled professional advancement. Because there are so few longitudinal studies in either formal or informal settings, educators and researchers lack critical insights into why BA/BS credentialed Black women drop out of STEMM careers at high rates upon entering the workforce. This Research in Service to Practice project will conduct a longitudinal examination of key professional outcomes and life trajectories among adult Black women who enrolled Women in Natural Sciences (WINS), a 40-year-old out-of-school time (OST) high school STEM enrichment program. Prior research on WINS documents that alumnae outperform national averages on all metrics related to STEMM advancement up through college graduation. This study will test the hypothesis that such success continues for these cohorts as they pursue life goals and navigate the workforce. Findings from this study will promote the progress of science, pivotal to NSF’s mission as the project builds knowledge about supportive and frustrating factors for Black women in STEMM careers. Strategic impact lies in the novel participant-centered research methods that amplify Black women’s voices and increase both accuracy and equity in informal STEM learning research.
This research probes the experiences of Black women at a critical phase of their workforce participation when BS/BA credentialed WINS alumnae establish their careers (ages 26-46). The team will conduct a longitudinal comparative case study of outcomes and life trajectories among 20 years of WINS cohorts (1995-2015). Research questions include (1) What do the life-journey narratives of WINS alumnae in adulthood reveal about influential factors in the socio-cultural ecological systems of Black women in STEMM? (2) What are the long-term outcomes among WINS women regarding education, STEMM and other careers, socio-economic status, and STEMM self-efficacy and interest? How do these vary? (3) What salient program elements in WINS are highlighted in alumnae narratives as relevant to Black women’s experiences in adulthood? How do these associations vary? (4) How do selected outcomes (stated in RQ2) and life story narratives among non-enrolled applicants compare to program alumnae? and (5) How do salient components in the WINS program associate with socio-cultural factors in regard to Black women’s careers and other life goals? Participants include 100 Black WINS alumnae as an intervention group and a matched comparison group of 100 Black women who successfully applied to the WINS program but did not or could not enroll. Measurable life outcomes and life trajectory narratives with maps of experiences from both groups will be studied via a convergent mixed methods design inclusive of quantitative and qualitative analyses. Comparisons of outcomes and trajectories will be made between the study groups. Further, associations between alumnae’s long-term outcomes and how they correlate their WINS experiences with other socio-cultural factors in their lives will be identified. It is anticipated that findings will challenge extant knowledge and pinpoint the most effective characteristics of and appropriate measures for studying lasting impacts of OST STEMM programs for Black women and girls. The project is positioned to contribute substantially to national efforts to increase participation of Black women in STEMM.
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TEAM MEMBERS:
Ayana Allen-HandyJacqueline GenovesiLoni Tabb
Data is increasingly important in all aspects of people’s lives, from the day-to-day, to careers and to civic engagement. Preparing youth to use data to answer questions and solve problems empowers them to participate in society as informed citizens and opens doors to 21st century career opportunities. Ensuring equitable representation in data literacy and data science careers is critical. For many girls underrepresented in STEM, developing a "data science identity" requires personally meaningful experiences working with data. This project aims to promote middle school-aged girls’ interest and aspirations in data science through an identity-aligned, social game-based learning approach. The goals are to create a more diverse and inclusive generation of data scientists who see data as a resource and who are equipped with the skills and dispositions necessary to work with data in order to solve practical problems. The research team will run 10 social clubs and 10 data science clubs mentored by women in data science recruited through the University of Miami’s Institute for Data Science and Computing. Participants will be 250 middle school-aged girls recruited in Miami, FL, and Yolo County, CA, through local and national girls’ organizations. Youth will participate in a data science club and will learn key data science concepts and skills, including data structures, storage, exploration, analysis, and visualization. These concepts will be learned from working with their own data collected in personally meaningful ways in addition to working with data collected by others in the same social game eco-system. The project will also develop facilitator materials to allow adult volunteers to create game-based informal data science learning experiences for youth in their areas. The project is funded by the Advancing Informal STEM Learning (AISL) program, which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments and is co-funded by the Innovative Technology Experiences for Students and Teachers (ITEST), which seeks to engage underrepresented students in technology-rich learning environments, including skills in data literacy, and increase students’ knowledge and interest in information and communication technology (ICT) careers.
Researchers will focus on two primary research questions: 1) Across gameplay and club experiences, in what ways do participants engage with data to pursue personal or social goals? 2) How do gameplay and club experiences shape girls’ perceptions of data, data science, and their fit with data and data science? The project will use design-based research methods to iteratively design the game and social club experiences. To ensure that uses of data feel personally and socially meaningful to young girls, the virtual world’s goals, narratives, and activities will be co-designed with girls from groups underrepresented in data science. The project will research engagement with game data in two informal, game-based learning scenarios: organic, self-directed, social play club, and structured, adult-facilitated data science clubs. The research will use a combination of quantitative and qualitative methods including surveys, focus groups, interviews, and gameplay and club observations. Project evaluation will determine how gameplay and club experiences impact participants' attitudes toward and interest in data-rich futures. The project holds the potential for broadening participation and promoting interest in data science by blending game-based learning with the rich social and adult mentoring through club participation. The results will be disseminated through conference presentations, scholarly publications, and social media. The game and facilitator materials will be designed for dissemination and made freely available to the public.
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TEAM MEMBERS:
Lisa HardyGary GoldbergerJennifer Kahn
Background. STEM identity has emerged as an important research topic and a predictor of how youth engage with STEM inside and outside of school. Although there is a growing body of literature in this area, less work has been done specific to engineering, especially in out-of-school learning contexts.
Methods. To address this need, we conducted a qualitative investigation of five adolescent youth participating in a four-month afterschool engineering program. The study focused on how participants negotiated engineering-related identities through ongoing interactions with activities, peers
Ideas from social justice can help us understand how equity issues are woven through out-of-school science learning practices. In this paper, I outline how social justice theories, in combination with the concepts of infrastructure access, literacies and community acceptance, can be used to think about equity in out-of-school science learning. I apply these ideas to out-of-school science learning via television, science clubs and maker spaces, looking at research as well as illustrative examples to see how equity challenges are being addressed in practice. I argue that out-of-school science