Tsekhmister, Yaroslav
(Ed.)
Many college students have neither the interest in nor the academic preparation for pursuing the study of science, technology, engineering, and mathematics (STEM). This is especially true for computer science (Code.org, 2021). Consequently, the U.S. likely faces a mismatch between its projected technology labor force needs and the majors of future college graduates (Justice et al., 2022; U.S. Bureau of Labor Statistics, 2023). A further complication of this mismatch is that the majority of U.S. students who study technology are males from middle-class White or Asian Rim ethnic (Fry et al., 2021). Lower-income youth from all race/ethnic backgrounds, females, and students from Black, Latinx, some Asian American Pacific Islander (AAPI), and Native American ethnic groups are underrepresented in computer science (CS) relative to their proportion in the overall U.S. population (U.S. Census Bureau, 2018). This disproportionality leaves large segments of the U.S. population outside the professional computing community. Addressing the second issue could help alleviate the first problem by bringing currently marginalized segments of the population into technology fields. This article presents a descriptive case study of a three-year middle school intervention designed to improve the likelihood that more low-income, female, and racial/ethnic minoritized middle school youth will be inspired and prepared to study technology in high school enroute to pursuing technology majors in college. It describes the development, implementation, and outcomes of a partnership between the University of North Carolina at Charlotte (UNC Charlotte) and Wilson STEM Academy, a public middle school serving the underrepresented populations previously described (Mickelson, 2015).
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