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This paper explores the potential of virtual education options to fulfill policies designed to broaden participation in computer science (CS) education. Virtual education platforms inherently offer access to a wider range of students than traditional brick-and-mortar schools. Access does not preclude the various socio-economic challenges to engaging these platforms, but this format could be used to mitigate barriers to reaching groups of students that have historically been marginalized in CS courses. In 2019, Georgia passed legislation that requires all middle and high schools to offer CS courses by 2025. The legislation also allowed for virtual courses to satisfy the requirement. While the legislation is intent on broadening participation in CS education, it specifically incorporates a virtual option, making it novel among similar legislative actions across the country. In this context, we examine whether virtual CS courses increase access for marginalized student populations. As such, we explore (1) to what extent do the disparities in CS education found in brick-and-mortar classrooms also appear in virtual settings and (2) to what extent is there an association between modality and rurality on CS course enrollment. Using district enrollment data from 2012 to 2019 for CS courses in Georgia, we calculated the percentage of students in marginalized groups that enrolled in physical courses across the state compared to the percentage enrolled in statewide virtual courses to illuminate existing disparities in enrollment. We conducted this analysis at the district level to highlight variability in representative disparity and the underlying structural differences that might contribute to these disparities. Our analysis provides insight that incorporates the different levels of representative disparity districts have overall. As an early adopter of virtual CS education, the Georgia model provides valuable information for states interested in policies to broaden participation in CS courses. 

Background/Context:Schools are increasingly using scripted curricula that limit teacher autonomy. These limitations are exacerbated when scripted curricula are enacted in fully standardized, asynchronous online course environments with no mechanisms for student–teacher communication. Purpose:This study extends understanding of how teacher discretion, identity, and the relationship between those two components shape students’ educational experiences online. Research Design:Within a sequential mixed method design, we identified spaces for teacher discretion using critical discourse analysis. By coding lesson transcripts, we developed a typology of common strategies: friendly, directive, personalized, and procedural. We used the resulting typology to run statistical models examining associations among teacher identity, discretionary acts, and student achievement. Lastly, we turned back to the qualitative data to confirm findings, test hypotheses, and provide nuance. Findings:Teachers presenting as Black were significantly more likely to use a procedural approach and significantly less likely to use friendly strategies. Students scored higher on their end-of-lesson quiz when their teacher used personalized strategies, such as sharing relevant personal experiences, and scored lower when teachers used friendly or directive strategies. Conclusions:Findings have implications for understanding and enacting equitable educational practices in asynchronous, scripted online environments. The isolation of discretionary acts feasible within the virtual learning environment studied contributes nuance to knowledge of the mechanisms through which teacher discretion might result in more favorable learning outcomes for students belonging to minoritized groups. 

Students belonging to marginalized groups experience positive impacts when taught by a teacher of the same race, ethnicity, and gender. The unique nature of standardized, asynchronous online course taking allows for greater separation of any possible educational benefits of student versus teacher-driven mechanisms contributing to these improved outcomes. Using a student-by-course fixed effect strategy on data from a large urban school district, I examined associations between whether students experienced racial/ethnic or gender congruence with their remote instructor and both engagement and learning outcomes. Students who identified as Black demonstrated higher rates of engagement, although no difference in achievement, within lessons taught by a same-race remote instructor. I find that representation is associated with engagement even when instructors follow closely scripted lessons, representation occurs in only small doses, and instruction occurs in an impersonal setting.