Data in Practice: Conceptualizing the Data-Based Decision-Making Phenomena

James P. Spillane

308 citations0/0 files storedAmerican Journal of Education

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Educational Assessment and Improvement Global Educational Policies and Reforms Evaluation and Performance Assessment

Abstract

“Data use” and “data-based decision making” are increasingly popular mantras in public policy discourses and texts. Policy makers place tremendous faith in the power of data to transform practice, but the fate of policy makers’ efforts will depend in great measure on the very practice they hope to move. In most conversations about data use, however, relations between data and practice have been underconceptualized. In this essay, I identify and discuss some conceptual and analytical tools for studying data in practice by drawing on work from various theoretical traditions. I explore some ways in which we might frame a research agenda in order to investigate data in everyday practice in schools. My account is centered on schoolhouse work practice, but the research apparatus I consider can be applied to practice in other organizations in the education sector and indeed to interorganizational practice, a critical consideration in the education sector.

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References

1994Situated Learning: Legitimate Peripheral Participation.1991Situated Learning 1977Institutionalized Organizations: Formal Structure as Myth and Ceremony 1991Exploration and Exploitation in Organizational Learning 1983An Evolutionary Theory of Economic Change.1984The Constitution of Society. Outline of the Theory of Structuration 1990The Logic of Practice 1996Sensemaking in Organizations

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2015Teacher capacity for and beliefs about data-driven decision making: A literature review of international research 2015Building a Conceptual Framework for Data Literacy 2014How leaders can support teachers with data-driven decision making 2012Understanding Data Use Practice among Teachers: The Contribution of Micro-Process Studies 2015Teachers’ Sensemaking of Data and Implications for Equity 2020Misconceptions about data-based decision making in education: An exploration of the literature

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