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Data-driven decision making in the school divisions of Manitoba: a critical race theory perspective

The use of data to drive or inform the decision making process is gaining traction in education. In response to the data driven decision making shift, an emerging group of scholars are beginning to discuss how the data movement in education may be viewed using a critical race theory (CRT) framework. With a focus on implications for racial equity, this study explores the ways and to what degree data are valued or practically applied in the decision making process in Manitoba. Participants for this qualitative research study include ten Manitoban school superintendents. Drawing attention to the ways in which data-driven practices like all other practice in education, are not neutral acts, this study looks to contribute to the growing research area on Canadian data-driven decision making and CRT. Findings from this study indicate that school divisions in the province of Manitoba are increasingly driven by data that privileges Western or colonial ways of knowing. Some recommendations for further research include, using achievement data to resist racial oppression, exploring the dangers of Gap Talk, and looking at whether data literacy includes notions of power and privilege. / February 2017

Identiferoai:union.ndltd.org:MANITOBA/oai:mspace.lib.umanitoba.ca:1993/32001
Date09 January 2017
CreatorsKrepski, Heather
ContributorsMandzuk, David (Educational Administration, Foundations and Psychology), Piquemal, Nathalie (Educational Administration, Foundations and Psychology) Falkenberg, Thomas (Curriculum, Teaching and Learning)
Source SetsUniversity of Manitoba Canada
Detected LanguageEnglish

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