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JEA Data Use_UA Repository.pdf
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Final Accepted Manuscript
Affiliation
Educational Policy Studies and Practice, University of ArizonaIssue Date
2019-02-14Keywords
Public AdministrationEducation
data use
equity
accountability
cross-sector collaboration
educational reform
college and career readiness
Metadata
Show full item recordPublisher
EmeraldCitation
Hackmann, D. G., Malin, J. R., & Ahn, J. (2019). Data use within an education-centered cross-sector collaboration. Journal of Educational Administration, 57(2), 118–133. https://doi.org/10.1108/JEA-08-2018-0150Rights
©Emerald Publishing Limited.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Purpose: This study examined data use practices within a cross-sector initiative involving high school career academies. It discerned how partners used data to assess the public value of academies and address equity concerns. Design: Case study methodology was applied to examine cross-sector activities supporting the district’s career academy reform. Data were collected through interviews, observations, and document analysis. Datnow and Park’s (2018) conceptual framework involving key equity dimensions guided the analysis. Findings: Partners used data for both accountability and continuous improvement. Educators were required to document student growth for state accountability purposes, while providing evidence of the public value of the academies to the community. Data use for continuous improvement included identifying annual goals to improve academy performance. There was a lack of a district-wide focus on equity, with educators taking a passive approach to academy and career pathway selections by student subgroups. Practical implications: The findings provide insights into data use practices school and district leaders can implement to ensure equitable student participation in career academies and appropriate data use within cross-sector collaborations. Social implications: Students who are traditionally underrepresented in career fields, including students of color and females, need intentional efforts to encourage their participation in high-skill, high-wage career fields. Originality/value (mandatory): This study identifies critical issues involved with data use for equity when promoting education-centered cross-sector collaboration, while also highlighting existing tensions between data use for accountability and continuous improvement.Note
Immediate accessISSN
0957-8234Version
Final accepted manuscriptae974a485f413a2113503eed53cd6c53
10.1108/jea-08-2018-0150