The Computer Science (CS) for All national movement is increasingly relying on state-level change to broaden participation in computing. To foster an environment in which all students have opportunities to thrive in CS education, policy action is necessary to help create the learning conditions for success. CS education in California has grown substantially in the last decade, yet opportunity gaps remain for young women and Black, Latinx, and Native American students. Early grassroots efforts to advance equity in computing evolved into the Computer Science for California coalition of K–16 educators, industry leaders, and other equity advocates to promote the growth of equity-minded teaching and learning opportunities in K–12 CS education. New policies at the state level reflect an increasing commitment among Sacramento policymakers to expand CS education. Yet troubling disparities in CS access and success continue to exist between traditionally advantaged students and their historically underserved peers. By drawing on interviews with 20 individuals involved in CS education policy, this study illuminates the contributing factors to recent policy successes and considerations for achieving further progress. Interviewees described the importance of tapping into the values of influential decision makers, educating policymakers about the benefits of CS education, and identifying the problems and solutions that require policy attention. To build the capacity of key policy actors in making informed decisions, this research demonstrates the continued value of providing useful information, developing relationships with policymakers, and creating resources that are easy to consume and understand. The interviews also suggest that attention to funding, disruptions from the COVID-19 pandemic, equity, and ongoing stakeholder support will shape prospects for CS education policy success moving forward.
Applying the CAPE framework to measure equity and inform policy in computer science education
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.
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- Award ID(s):
- 1822011
- NSF-PAR ID:
- 10353073
- Date Published:
- Journal Name:
- Policy Futures in Education
- ISSN:
- 1478-2103
- Page Range / eLocation ID:
- 147821032210744
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1177/14782103221074467
