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Historically, teachers had been delegated the primary responsibility for the organization and management of classroom instruction in US public schools. While this delegation afforded teachers professional autonomy in their work, it has also resulted in disparities in students’ educational experiences and outcomes within and between classrooms, schools, and systems. In the effort to improve instruction and reduce disparities for students on a large scale, one reform effort in the US has focused on building instructionally focused education systems (IFESs) where central office and school leaders collaborate with teachers to organize and manage instruction. These efforts are playing out in a variety of contexts in the US, including in public school districts, non-profits, and other educational networks, and it is shifting how teachers carry out the day-to-day work of instruction. In this comparative case study, we investigate two IFESs in which efforts to improve instruction pushed against historic norms of teacher autonomy. We found that these new systems are not at odds with teacher autonomy, but rather these systems reflect a transition to more interdependent notions of teacher autonomy.
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Productive myopia: Racialized organizations and edtech
This paper reports on a two-year, field-based study set in a charter management organization (CMO-LAX), a not-for-profit educational organization that operates 18 public schools exclusively in the Black and Latinx communities of South and East Los Angeles. At CMO-LAX, the nine-member Data Team pursues the organization's avowed mission of making public schools data-driven, primarily through the aggregation, analysis, and visualization of digital data derived from quotidian educational activities. This paper draws on the theory of racialized organizations to characterize aspects of data-driven management of public education as practiced by CMO-LAX. I explore two examples of how CMO-LAX shapes data to support racial projects: the reconstruction of the figure of chronic truants and the incorporation of this figure in a calculative regime of student accomplishment. Organizational uses of data support a strategy I call productive myopia, a way of pursuing racial projects via seemingly independent, objective quantifications. This strategy allows the organization to claim to mitigate racial projects and, simultaneously, to accommodate them. This paper concludes by arguing for approaches to research and practice that center racial projects, particularly when data-intensive tools and platforms are incorporated into the provision of public goods and services such as education.
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- Award ID(s):
- 1901367
- PAR ID:
- 10541776
- Publisher / Repository:
- SAGE Publications
- Date Published:
- Journal Name:
- Big Data & Society
- Volume:
- 8
- Issue:
- 2
- ISSN:
- 2053-9517
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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