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This study aims to examine the current experiences of high school students in computer science (CS) courses and the factors that motivated them to continue their future enrollment. The participants were 603 high school students in grades 9 through 12 in Indiana, all of whom enrolled in at least one CS course during the 2020-2021 academic year. This research revealed that fun and meaningful CS pedagogy, knowledgeable CS teachers, and relevance to their lives and future careers enabled high school students to hold positive experiences in their CS classes. These experiences impacted students to take additional CS courses. In addition to these positive experiences, gender and early exposure to CS emerge as predictors to pursue CS courses. The findings will carry significance for policymakers and educators offering insights to enhance and broaden students’ participation and engagement in the CS course. 

Although it is well known that Black women are underrepresented in computing, less is known about their pre-college experiences. We hypothesize that inequities at the K-12 level result in Black women's underrepresentation in computing, because Black women have accumulated less social capital and are less embedded in courses and organizations related to computing prior to college. This paper reports the initial findings from the first round of a survey designed to gather the pre-college computing experiences of Black women and their peers. Black women in our sample were less likely to report participating in formal computer science (CS) education in school, slightly more likely to report participation in outside-of-school computing programs, about equally as likely to pursue computing experiences independently, and more likely to have had no pre-college computing experiences at all. We found that Black women were less likely to report that they were told they would be a good computer scientist, especially by friends, teachers, and guidance counselors, thus reflecting weaker social connections and lower levels of social capital. These findings suggest that organizational embeddedness or social ties from pre-college computing experiences may indeed be a factor in Black women's underrepresentation in computing and that access to these experiences outside of the formal classroom may be particularly important. The survey is one part of a study that will feature a second round of data collection in another state, analysis of state-level longitudinal data, and interviews with Black women. 

This experience report shares lessons learned when expanding demographic options on an undergraduate survey. The study is designed to better understand the relationship between pre-college computing experiences and the choice to major in computing, particularly focusing on Black women’s experiences. Expansive options for gender (5 plus an openended), race (18 non-mutually-exclusive options), and disability (8) gave respondents more opportunity for specificity. Yet we faced unexpected challenges in analysis and interpretation as we hadn’t considered the implications of being so expansive ahead of time. This paper presents our lessons learned, analysis choices and plans for future iterations of the survey. 

The push to make computer science (CS) education available to all students has been closely followed by increased efforts to collect and report better data on where CS is offered, who is teaching CS, and which students have access to, enroll in, and ultimately benefit from learning CS. These efforts can be highly influential on the evolution of CS education policy, as education leaders and policymakers often rely heavily on data to make decisions. Because of this, it is critical that CS education researchers understand how to collect, analyze, and report data in ways that reflect reality without masking disparities between subpopulations. Similarly, it is important that CS education leaders and policymakers understand how to judiciously interpret the data and translate information into action to scale CS education in ways designed to eliminate inequities. To that end, this article expands on recent research regarding the use of data to assess and inform progress in scaling and broadening participation in CS education. We describe the CAPE framework for assessing equity with respect to the capacity for, access to, participation in, and experience of CS education and explicate how it can be applied to analyze and interpret data to inform policy decisions at multiple levels of educational systems. We provide examples using large, statewide datasets containing educational and demographic information for K-12 students and schools, thereby giving leaders and policymakers a roadmap to assess and address issues of equity in their own schools, districts, or states. We compare and contrast different approaches to measuring and reporting inequities and discuss how data can influence the future of CS education through its impact on policy. 

Facilitating the development of a common framework for monitoring progress in K-12 computer science (CS) education and advocacy with an emphasis on broadening participation is the key to constructing strong CS education policy. Based on a project that brought together leadership teams from six states, a framework for measuring broadening participation in computing (BPC) and setting the foundation for national scaling was developed. Built around a collaboration of leaders representing experience in data gathering, data analysis, data reporting, and data utilization, this project applied the tenets of collective impact to address the challenge of consistently measuring progress toward BPC across state contexts. By establishing a common agenda, including mutually agreed upon definitions of computer science education and broadening participation, these leaders guided the selection of metrics. This led to the development of shared measurement systems and built a deeper understanding of state data systems across the participating states. This phase resulted in common goals and a monitoring system to measure BPC efforts that could inform state policy efforts. Mutually reinforcing activities included the development and sharing of tools, allowing stakeholders to quickly and accurately analyze and disseminate data that drives BPC measurement and policy work. Guided by backbone support to coordinate the work and continuous communication, meaningful participation of all stakeholders was central to the project. Making the case for CS education policy via common metrics and measuring progress across a region stands to impact BPC policy efforts across the United States. The common framework developed in this project serves as a call to action, especially for state and local education agencies committed to increasing diversity in computer science pathways.