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Background and Context: Most large-scale statewide initiatives of the Computer Science for All (CS for All) movement have focused on the classroom level. Critical questions remain about building school and district leadership capacity to support teachers while implementing equitable computer science education that is scalable and sustainable. Objective: This statewide research-practice partnership, involving university researchers and school leaders from 14 local education agencies (LEA) from district and county offices, addresses the following research question: What do administrators identify as most helpful for understanding issues related to equitable computer science implementation when engaging with a guide and workshop we collaboratively developed to help leadership in such efforts? Method: Participant surveys, interviews, and workshop observations were analyzed to understand best practices for professional development supporting educational leaders. Findings: Administrators value computer science professional development resources that: (a) have a clear focus on “equity;” (b) engage with data and examples that deepen understandings of equity; (c) provide networking opportunities; (d) have explicit workshop purpose and activities; and (e) support deeper discussions of computer science implementation challenges through pairing a workshop and a guide. Implications: Utilizing Ishimaru and Galloway’s (2014) framework for equitable leadership practices, this study offers an actionable construct for equitable implementation of computer science including (a) how to build equity leadership and vision; (b) how to enact that vision; and (c) how to scale and sustain that vision. While this construct applies to equitable leadership practices more broadly across all disciplines, we found its application particularly useful when explicitly focused on equity leadership practices in computer science.
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Equity in the Who, How and What of Computer Science Education: K12 School District Conceptualizations of Equity in ‘CS for All’ Initiatives
Equity is arguably an agreed upon value within the Computer Science education (CSed) community, and perhaps even more so within efforts to universalize access to CSed within K12 settings through emerging `CS for All' initiatives. However, stakeholders often mean different things when referring to equity, with important implications for what CS teaching and learning looks like in schools. In this paper, we explore the question of how K12 school district actors' conceptualizations of equity manifest within their planning and implementation of district-wide CSed initiatives. Based on a research-practice partnership aimed at supporting and researching district-wide CSed initiatives, data presented - interviews with district faculty, district planning documents, meeting transcripts and field observations - were drawn from five participating school districts as they made decisions and enacted activities over 11 months in areas including vision-setting, curriculum, professional development, leadership efforts and use of formative data about implementation. Analyzing these data through equity frameworks found in CSed literature, we highlight three distinct but interconnected ways that district actors conceptualized equity within their CSed initiatives: (1) equity in who Computer Science is for, (2) equity in how Computer Science is taught, and (3) equity in what Computer Science is taught. Data show that these varied conceptualizations resulted in different kinds of decisions about CSed in districts. We discuss the implications of these findings in terms of their relevance to equity-oriented CS education researchers, and what lessons they hold for policy-makers and education leaders engaged in their own efforts to support equitable computer science education.
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- Award ID(s):
- 1738675
- PAR ID:
- 10207823
- Date Published:
- Journal Name:
- 2019 Research on Equity and Sustained Participation in Engineering, Computing and Technology (RESPECT)
- Page Range / eLocation ID:
- 1 to 8
- 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
- Conference Paper:
- https://doi.org/10.1109/RESPECT46404.2019.8985901
