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Yurkofsky, Maxwell – Educational Administration Quarterly, 2022
Purpose: A recurring frustration in educational research is the tendency for school leaders to implement reforms in ways that prioritize compliance over more substantive improvements to practice. Drawing on new institutional theory and sensemaking theory, this article explores the different ways leaders respond to continuous improvement (CI)…
Descriptors: Leadership, Educational Change, Educational Improvement, Educational Needs
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Park, Vicki – Educational Administration Quarterly, 2018
Purpose: The purpose of this article is to examine the data conversation moves enacted by leaders and to bridge organizational leadership for equity and data-informed decision making to practice. I argue that data discussion moves with the purpose of improving equity and learning must reflect core tenets of organizational leadership for…
Descriptors: Data, Data Analysis, Information Utilization, Leadership
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Roegman, Rachel; Samarapungavan, Ala; Maeda, Yukiko; Johns, Gary – Educational Administration Quarterly, 2018
Purpose: We explored the practices and understandings around using disaggregated data to inform instruction of 18 principals from three Midwestern school districts. Research Method: This qualitative study used one-on-one semistructured interviews with the principals focusing on how they disaggregate data in practice. The protocol included general…
Descriptors: Principals, School Districts, Data Analysis, Administrator Attitudes
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Cannata, Marisa; Rubin, Mollie; Goldring, Ellen; Grissom, Jason A.; Neumerski, Christine M.; Drake, Timothy A.; Schuermann, Patrick – Educational Administration Quarterly, 2017
Purpose: New teacher effectiveness measures have the potential to influence how principals hire teachers as they provide new and richer information about candidates to a traditionally information-poor process. This article examines how the hiring process is changing as a result of teacher evaluation reforms. Research Methods: Data come from…
Descriptors: Teacher Effectiveness, Teacher Selection, Principals, Data Analysis
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Sorensen, Lucy C. – Educational Administration Quarterly, 2019
Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…
Descriptors: At Risk Students, Dropouts, Data Collection, Data Analysis
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Cooper, Camille Wilson – Educational Administration Quarterly, 2009
Purpose: Marginalizing dynamics can emerge in school communities that are experiencing rapid demographic change, even when led by equity-oriented principals. The purpose of this article is to consider how educators can serve as transformative leaders through their performing cultural work that addresses inequity, crosses sociocultural boundaries,…
Descriptors: Elementary Schools, Demography, Change, Time Perspective